CN110861987B - Elevator fault judgment logic verification method, system and storage medium - Google Patents
Elevator fault judgment logic verification method, system and storage medium Download PDFInfo
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- CN110861987B CN110861987B CN201911010901.8A CN201911010901A CN110861987B CN 110861987 B CN110861987 B CN 110861987B CN 201911010901 A CN201911010901 A CN 201911010901A CN 110861987 B CN110861987 B CN 110861987B
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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
- B66B5/0037—Performance analysers
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Abstract
The invention discloses a method, a system and a storage medium for verifying elevator fault logic, wherein the method comprises the following steps: obtaining elevator operation data; obtaining a corresponding maintenance record according to the elevator operation data, wherein the maintenance record comprises maintenance time, a fault code and a processing description; performing data set classification operation on the maintenance record; comparing the result of the data set classification with the fault judgment logic; optimizing the fault logic according to the comparison result; and executing elevator fault judgment operation according to the optimized result. The invention forms a verification logic by utilizing a large amount of historical fault data, the state data of the elevator and the maintenance data, realizes intelligent identification on the authenticity of the fault, verifies the rationality of the fault interpretation logic, and reduces the situations of false report and missing report of fault information, thereby greatly reducing the workload of maintenance personnel and being widely applied to the technical field of elevator control.
Description
Technical Field
The invention relates to the technical field of elevator control, in particular to an elevator fault judgment logic verification method, an elevator fault judgment logic verification system and a storage medium.
Background
Along with the development of the internet of things of the elevator, the functions of collecting, storing, analyzing and the like of the operation data of the elevator need to be realized, and an elevator terminal is provided with a DTU (data transfer unit) for carrying out logic processing on the collected basic data. Wherein the fault of the elevator is also generated by means of a DTU implementation. The elevator fault sources comprise two types of main control fault reporting and fault diagnosis:
1) the master control failure report is that the elevator master control collects failure codes reported when each part has a failure and uploads the failure codes to the center through a DTU (data transfer unit);
2) and the DTU collects the operation parameters of each part of the elevator during fault diagnosis, judges and generates faults according to formulated logic or threshold values and uploads the faults to the center.
The second fault judgment logic is realized on the basis of research and development, engineering experience, elevator specifications, use environment, elevator utilization rate and the like, and whether the logic and threshold setting are reasonable or not can be verified only after long-time operation. A large amount of fault data can be generated in the running process of the elevator, but a large amount of error reporting and repeated data increase huge workload for maintenance personnel, and along with the increase of the service life of the elevator, the originally set logic is possibly not applicable any more, so that the false reporting and the missing reporting of fault information are caused, and the running of components is influenced.
Disclosure of Invention
To solve the above technical problems, the present invention aims to: the elevator fault judgment logic verification method, the elevator fault judgment logic verification system and the storage medium can enable the running state of the elevator and the engineering maintenance work to verify the accuracy of the elevator fault reversely.
The first technical scheme adopted by the invention is as follows: an elevator fault judgment logic verification method comprises the following steps: obtaining elevator operation data; obtaining a corresponding maintenance record according to the elevator operation data, wherein the maintenance record comprises maintenance time, a fault code and a processing description; performing data set classification operation on the maintenance record; comparing the result of the data set classification with the fault judgment logic; optimizing the fault judgment logic according to the comparison result; and executing elevator fault judgment operation according to the optimized result.
Further, the elevator operation data comprises state parameters, fault records and elevator stopping maintenance data; the state parameters comprise current, voltage, speed, load, mileage and temperature; the fault record comprises a fault type, fault time, an elevator type and an elevator number; the elevator stopping maintenance data comprises maintenance processing time, an elevator number and a fault code.
Further, the step of performing a data set classification operation on the service record specifically includes: filtering the fault data and the elevator stopping maintenance data according to the maintenance record; classifying the filtered results; the classifications include true faults, false positive faults, and man-made faults.
Further, the step of comparing the result of the classification according to the data set with the fault judgment logic specifically comprises: screening the state parameters according to the false alarm fault; establishing a characteristic project according to the screening result; acquiring a characteristic value with high weight according to the characteristic engineering; and verifying the characteristic value and the fault judgment logic.
Further, the step of optimizing the elevator fault logic according to the comparison result specifically includes: improving the characteristic dimension of the fault judgment logic according to the characteristic value and the result of verifying the fault judgment logic; modifying the threshold value of the fault judgment logic according to the characteristic value and the result of the verification of the fault judgment logic; and correcting the deviation of the fault judgment logic according to the verification result of the characteristic value and the fault judgment logic.
Further, the step of classifying the filtered results specifically includes: acquiring the state parameters according to the processing description; and judging responsibility of the fault record according to the elevator state parameters.
Further, the determining the responsibility of the fault record according to the elevator state parameter specifically includes: performing recognition operation on the processing description according to the NLP; classifying the state parameters according to the identification result; the process description includes fault conditions, fault manifestations, processes, and process results.
The second technical scheme adopted by the invention is as follows: an elevator fault judgment logic verification system comprising: the data acquisition unit is used for acquiring elevator operation data; a maintenance record acquisition unit; the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring corresponding maintenance records according to the elevator operation data, and the maintenance records comprise maintenance time, fault codes and processing descriptions; the data set classifying unit is used for performing data set classifying operation on the maintenance record; the fault logic judgment unit is used for comparing the result of the data set classification with the fault judgment logic; the fault logic optimization unit is used for optimizing the fault logic according to the comparison result; and the execution unit is used for executing elevator fault judgment operation according to the optimized result.
The third technical scheme adopted by the invention is as follows: an elevator fault judgment logic verification system comprising: at least one processor; at least one memory for storing at least one program; when the at least one program is executed by at least one processor, the at least one processor is caused to implement the method for verifying elevator failure judgment logic.
The fourth technical scheme adopted by the invention is as follows: a storage medium having stored therein executable instructions, which when executed by a processor, perform the method of elevator failure determination logic verification.
The invention has the beneficial effects that: the invention forms a verification logic by utilizing a large amount of historical fault data, elevator state data and maintenance data, realizes intelligent identification on the authenticity of the fault, verifies the rationality of the fault interpretation logic, and reduces the situations of false report and missing report of fault information, thereby greatly reducing the workload of maintenance personnel and having wide applicability.
Drawings
Fig. 1 is a flow chart of steps of a method for verifying elevator fault judgment logic according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating the detailed steps of a method for verifying elevator failure judgment logic according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the figures and specific examples.
As shown in fig. 1, an embodiment of the present invention provides a method for verifying elevator fault judgment logic, including the following steps:
s101, obtaining elevator operation data;
s102, obtaining a corresponding maintenance record according to the elevator operation data, wherein the maintenance record comprises maintenance time, a fault code and a processing description;
specifically, the embodiment of the invention collects a large amount of elevator operation data, acquires corresponding maintenance records of faults from the operation data according to the fault data in the operation data and the maintenance data of stopping the elevator, receives a work order by maintenance personnel, confirms and processes the faults on site, backfills the processing process description through a PDA after the processing is finished, and receives the maintenance record data including the elevator number, the maintenance time, the fault code and the processing description by the center.
S103, performing data set classification operation on the maintenance record;
specifically, the embodiment of the present invention loads failure history data and corresponding processing data and elevator stopping data, wherein the three types of data are associated with each other by elevator numbers and failure codes, and according to the failure codes and processing descriptions in the maintenance records, the cause of the failure or elevator stopping maintenance is determined, and all the failure data are divided into three types according to the cause: true fault Dataset _ T, false positive fault Dataset _ F, and artificial fault Dataset _ M.
S104, comparing the result of the data set classification with the fault judgment logic;
specifically, the fault data classified and processed in the previous step S103 are divided into real fault Dataset _ T, false alarm fault Dataset _ F, and artificial fault Dataset _ M, each item of operation data of the false alarm fault Dataset _ F is selected and loaded, a corresponding feature engineering is established to obtain a corresponding feature parameter, the obtained feature parameter is compared with a parameter threshold preset in a fault judgment logic, wherein the fault judgment logic is operated at a hardware terminal, and whether the elevator is faulty or not is judged according to the parameters and the logic according to some parameters (such as current, stress, counting, timing, and the like) collected by a sensor.
S105, optimizing the fault logic according to the comparison result;
specifically, if the characteristic parameter value obviously does not reach the preset threshold value, or only a certain characteristic parameter exceeds the threshold value, the judgment logic needs to be reviewed again, the judgment logic and the threshold value of various elevator fault types are different, similar faults may also be different in elevators of different models, for example, the dimension of door faults is usually door machine current collection, door opening duration, door closing duration and the like, for example, the current value exceeds the preset current (threshold value 1) and exceeds the preset times (threshold value 2), the elevator reports the fault that the door switch is not smooth, but if a maintenance worker finds on site that the reason for causing the overhigh current of the door machine is caused by overweight of an outer door, the current threshold value needs to be set to be a little higher, and the occurrence of false alarm condition is reduced; if the characteristics of the real faults are analyzed, and the characteristics causing the faults are not consistent with the characteristics used in the judgment logic, whether the judgment logic increases or decreases the characteristics is considered, the characteristics of each ladder type or each fault are different, only if the fault is frequently reported by mistake, the characteristics causing the real faults are analyzed according to the real report data of the fault, and whether the logic, the dimensionality or the threshold value of the fault judgment program is reasonable is reversely verified according to the result obtained by machine learning.
And S106, executing elevator fault logic judgment according to the optimized result.
As a further preferred embodiment, the elevator operation data comprises status parameters, fault records and elevator stopping maintenance data; the state parameters comprise current, voltage, speed, load, mileage and temperature; the fault record comprises a fault type, fault time, an elevator type and an elevator number; the elevator stopping maintenance data comprises maintenance processing time, an elevator number and a fault code.
Specifically, the embodiment of the invention obtains the state parameters, the fault records and the elevator stopping maintenance data during the operation of the elevator, and associates the three data sets according to the elevator number and the fault code number, thereby facilitating the analysis work of the following steps.
As shown in fig. 2, as a further preferred embodiment, the step S103 of performing a data set classification operation on the service record specifically includes: s1031, filtering the fault data and the elevator stopping maintenance data according to the maintenance records; s1032, classifying the filtered result; the classifications include true faults, false positive faults, and man-made faults.
Specifically, the embodiment of the invention loads a data set which is associated by an elevator number and a fault code; the records of the elevator stopping time and the elevator stopping time exceeding 2 minutes are filtered (2 minutes maintenance personnel cannot arrive at the site and complete the treatment), the faults can be considered as real faults, the real faults are stored as a data set Dataset _ T, the fault treatment description is analyzed, the description content is analyzed by nlp, the authenticity of the faults (the real faults and false alarm faults) is confirmed, the fault judgment is performed (whether the equipment faults or the artificial faults are equipment faults or artificial faults, for example, the fault description is that sand enters a track due to decoration, the door is opened and closed and blocked, after sand is cleaned, the faults are eliminated, the faults can be judged as artificial faults according to the fault description), all the records of the real faults and the artificial faults are filtered and distinguished, and the real faults of the link are stored in the data set Dataset _ T.
As shown in fig. 2, as a further preferred embodiment, the step S104 of comparing the result of classifying the data set with the failure determination logic specifically includes: s1041, screening the state parameters according to the false alarm fault; s1042, establishing a feature project according to the screening result; s1043, obtaining a high-weight characteristic value according to the characteristic engineering; and S1044, verifying the characteristic value and the fault judgment logic.
Specifically, in the embodiment of the present invention, a Dataset of Dataset _ T is loaded, relevant state parameters of all real faults are screened out according to the association relationship, a feature project is created according to the state parameters of all real faults, a feature value with a high weight (the relevant relationship is strongest) in the feature project is extracted, the generated feature value is compared with a feature parameter in a preset fault judgment logic, and a result is fed back. The establishing process of the feature engineering is a general technical direction, in the feature engineering, a target label is set through a large amount of sampling data, the features of the target label in the data can be analyzed through a machine learning algorithm, and the weight of each feature is obtained.
As a further preferred embodiment, the step S105 of optimizing the elevator fault logic according to the comparison result specifically includes: s1051, improving the feature dimension of the fault judgment logic according to the feature value and the result of the verification of the fault judgment logic; s1052, modifying the threshold value of the fault judgment logic according to the characteristic value and the result of verifying the fault judgment logic; s1053, correcting the deviation of the fault judgment logic according to the result of the verification of the characteristic value and the fault judgment logic.
Specifically, according to the false alarm fault obtained after the fault classification processing in S1032 and the verification result in the previous step S1044, the two fault types of the false alarm fault Dataset _ F and the real fault Dataset _ T are respectively improved and optimized, and for the false alarm fault with high occurrence frequency, the corresponding fault judgment logic needs to be corrected or even reconstructed; for a real fault, the optimization is carefully improved according to the verification result of the step S1044, that is, the fault judgment logic is to be close to the results of the feature analysis and the correlation analysis, and if a certain feature value does not appear or a certain feature value is added in the fault judgment logic, the feature dimension needs to be modified; if the specific value of the characteristic parameter in the false alarm fault is obviously higher or lower than the value of the characteristic parameter in the fault judgment logic, the threshold value of the characteristic parameter needs to be reset.
As a further preferred embodiment, the step of classifying the filtered result specifically includes: and acquiring the state parameters according to the processing description, and performing accountability judgment on the fault records according to the elevator state parameters.
Specifically, after the maintenance records are associated according to all the fault records, elevator fault accountability is judged, and real faults, artificial faults and false alarm faults are distinguished.
As a further preferred embodiment, the step of determining responsibility for the fault record according to the elevator state parameter specifically includes: performing recognition operation on the processing description according to the NLP; classifying the state parameters according to the identification result; the process description includes fault conditions, fault manifestations, processes, and process results.
Specifically, after the maintenance personnel deal with the elevator fault, the fault handling process information needs to be refilled, the information is manually input and describes fault conditions, performances, handling processes, handling results and the like, an NLP (natural language analysis) classifier is trained according to the description information in the maintenance records, whether the fault corresponding to the maintenance records is equipment responsibility or artificial responsibility can be judged according to the reason description in the maintenance records, the maintenance records are identified, analyzed and classified by using the NLP (natural language analysis), the fault category is judged, and whether each record is accurate and effective (whether the record is an artificial fault) is judged.
The embodiment of the invention also provides an elevator fault judgment logic verification system, which comprises:
the data acquisition unit is used for acquiring elevator operation data;
a maintenance record acquisition unit; the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring corresponding maintenance records according to the elevator operation data, and the maintenance records comprise maintenance time, fault codes and processing descriptions;
the data set classifying unit is used for performing data set classifying operation on the maintenance record;
the fault logic judgment unit is used for comparing the result of the data set classification with the fault judgment logic;
the fault logic optimization unit is used for optimizing the fault logic according to the comparison result;
and the execution unit is used for executing elevator fault judgment operation according to the optimized result.
The invention also provides an elevator fault judgment logic verification system, which comprises:
at least one processor;
at least one memory for storing at least one program;
when the at least one program is executed by at least one processor, the at least one processor is caused to implement the method for verifying elevator failure judgment logic.
The contents in the above method embodiments are all applicable to the present system embodiment, the functions specifically implemented by the present system embodiment are the same as those in the above method embodiment, and the beneficial effects achieved by the present system embodiment are also the same as those achieved by the above method embodiment.
In addition, the embodiment of the invention also provides a storage medium, wherein processor-executable instructions are stored in the storage medium, and the processor-executable instructions are used for executing the elevator fault judgment logic verification method when being executed by a processor.
Compared with the prior art, the elevator fault judgment logic verification method, the elevator fault judgment logic verification system and the storage medium have the following advantages:
1) the method utilizes the running state of the elevator and the engineering maintenance work to reversely verify the accuracy of the elevator fault so as to deduce whether the fault judgment logic is reasonable and effective, thereby reducing the false report and the missing report of the elevator fault information;
2) according to the method provided by the invention, the real-time update of the fault judgment logic can be realized, and the workload of maintenance personnel and research and development personnel is reduced.
The step numbers in the above method embodiments are set for convenience of illustration only, the order between the steps is not limited at all, and the execution order of each step in the embodiments can be adapted according to the understanding of those skilled in the art.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (9)
1. An elevator fault judgment logic verification method is characterized by comprising the following steps:
obtaining elevator operation data; the elevator operation data comprises status parameters;
obtaining a corresponding maintenance record according to the elevator operation data, wherein the maintenance record comprises maintenance time, a fault code and a processing description;
performing data set classification operation on the maintenance record, and determining a false alarm fault;
comparing the result of the data set classification with the fault judgment logic;
optimizing the fault judgment logic according to the comparison result;
executing elevator fault judgment operation according to the optimized result;
the step of comparing the result of the classification according to the data set with the fault judgment logic specifically comprises:
screening the state parameters according to the false alarm fault;
establishing a characteristic project according to the screening result;
acquiring a characteristic value with high weight according to the characteristic engineering;
and verifying the characteristic value and the fault judgment logic.
2. The elevator fault judgment logic verification method according to claim 1, characterized in that: the elevator operation data also comprises fault record and elevator stopping maintenance data;
the state parameters comprise current, voltage, speed, load, mileage and temperature;
the fault record comprises a fault type, fault time, an elevator type and an elevator number;
the elevator stopping maintenance data comprises maintenance processing time, an elevator number and a fault code.
3. The elevator fault judgment logic verification method according to claim 2, characterized in that: the step of performing a data set classification operation on the service record specifically includes:
filtering the fault record and the elevator stopping maintenance data according to the maintenance record;
classifying the filtered results; the classification includes true faults, false positive faults, and man-made faults.
4. The method for verifying elevator fault judgment logic according to claim 1, wherein the step of optimizing the elevator fault judgment logic according to the comparison result specifically comprises:
improving the characteristic dimension of the fault judgment logic according to the characteristic value and the result of verifying the fault judgment logic;
modifying the threshold value of the fault judgment logic according to the characteristic value and the result of the verification of the fault judgment logic; and correcting the deviation of the fault judgment logic according to the verification result of the characteristic value and the fault judgment logic.
5. The elevator fault judgment logic verification method according to claim 3, characterized in that: the step of classifying the filtered results specifically includes:
acquiring the state parameters according to the processing description;
and judging responsibility of the fault record according to the state parameters.
6. The elevator fault judgment logic verification method according to claim 5, characterized in that: the step of determining responsibility for the fault record according to the state parameter specifically includes:
performing recognition operation on the processing description according to the NLP;
classifying the state parameters according to the recognition result;
the process description includes fault conditions, fault manifestations, processes, and process results.
7. An elevator fault determination logic verification system, comprising:
the data acquisition unit is used for acquiring elevator operation data; the elevator operation data comprises status parameters;
a maintenance record acquisition unit; the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring corresponding maintenance records according to the elevator operation data, and the maintenance records comprise maintenance time, fault codes and processing descriptions;
the data set classifying unit is used for carrying out data set classifying operation on the maintenance record and determining a false alarm fault;
the fault logic judgment unit is used for comparing the result of the data set classification with the fault judgment logic;
the fault logic optimization unit is used for optimizing the fault judgment logic according to the comparison result;
the execution unit is used for executing elevator fault judgment operation according to the optimized result;
the comparing of the result of the classification according to the data set with the fault judgment logic comprises:
screening the state parameters according to the false alarm fault;
establishing a characteristic project according to the screening result;
acquiring a characteristic value with high weight according to the characteristic engineering;
and verifying the characteristic value and the fault judgment logic.
8. An elevator fault determination logic verification system, comprising:
at least one processor;
at least one memory for storing at least one program;
when executed by at least one processor, cause the at least one processor to implement an elevator failure judgment logic verification method according to any of claims 1-6.
9. A storage medium having stored therein executable instructions, wherein the executable instructions, when executed by a processor, are for performing an elevator failure judgment logic verification method according to any of claims 1-6.
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| CN201911010901.8A CN110861987B (en) | 2019-10-23 | 2019-10-23 | Elevator fault judgment logic verification method, system and storage medium |
| PCT/CN2020/117611 WO2021077983A1 (en) | 2019-10-23 | 2020-09-25 | Elevator fault determination logic verification method and system and storage medium |
| JP2022517999A JP2022549615A (en) | 2019-10-23 | 2020-09-25 | ELEVATOR FAILURE DETERMINATION LOGIC VERIFICATION METHOD, SYSTEM AND STORAGE MEDIUM |
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| CN113343176B (en) * | 2021-08-05 | 2022-06-10 | 北京磁浮有限公司 | Elevator equipment fault early warning method based on fuzzy comprehensive evaluation |
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| CN113837407A (en) * | 2021-10-27 | 2021-12-24 | 北京恒远国创科技有限公司 | Elevator maintenance management method, computer equipment and storage medium |
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| CN115028036B (en) * | 2022-05-06 | 2024-08-09 | 北京中铁电梯工程有限公司 | Elevator management method based on big data |
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| CN115196456B (en) * | 2022-07-14 | 2023-08-18 | 慧川电梯科技有限公司 | Fault judging method and device suitable for elevators of different brands |
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| Publication number | Publication date |
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| WO2021077983A1 (en) | 2021-04-29 |
| CN110861987A (en) | 2020-03-06 |
| JP2022549615A (en) | 2022-11-28 |
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