Elevator safety control method, device, equipment and medium

Abstract

The present invention discloses a method, device, equipment and medium for elevator safety control, which relates to the technical field of elevator safety control, including installing sensors to collect elevator operation data and historical data for preprocessing; analyzing the elevator operation status through the elevator operation data, performing elevator maintenance after predicting elevator failures in combination with historical data, and recollecting operation data after maintenance to evaluate the elevator maintenance effect. The beneficial effects of the present invention are as follows: the present invention analyzes the elevator operation status by collecting elevator operation data and historical data, and predicts future elevator failures, and implements elevator maintenance measures according to the elevator operation status and future elevator failures, thereby effectively preventing elevator failures and handling them in advance, reducing manual workload, and improving elevator maintenance efficiency. At the same time, after elevator maintenance, an elevator intelligent control strategy is generated for implementation, so that the elevator operation status is guaranteed, the probability of elevator failures is reduced, and the elevator operation efficiency and safety are significantly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of elevator safety control, and in particular to an elevator safety control method, device, equipment and medium. Background Art

[0002] With the acceleration of urbanization and the increasing number of high-rise buildings, elevators, as a vertical transportation tool, play an increasingly important role in people's daily life and work. The safety performance of elevators is directly related to the life safety of passengers. Therefore, elevator safety control technology has always been the focus of engineering technology research. Early elevator safety control mainly relied on mechanical speed limiters, safety clamps and other devices. With the development of electronic technology and information technology, elevator control systems have begun to develop in a more intelligent and networked direction. In recent years, elevator remote monitoring and fault diagnosis technology based on the Internet of Things has been widely used. Through various sensors installed inside the elevator, the elevator's operating data is collected in real time, and data analysis is performed through the remote monitoring center to achieve real-time monitoring of the elevator status and fault warning. However, the existing elevator safety control methods lack sufficient intelligence in the generation of elevator maintenance and control strategies, and most of them rely on the experience of maintenance personnel to make judgments, which not only increases the maintenance cost, but also fails to ensure the optimality and efficiency of elevator maintenance. Summary of the invention

[0003] In view of the problems existing in the above-mentioned existing elevator safety control methods, devices, equipment and media, the present invention is proposed.

[0004] Therefore, the problem to be solved by the present invention is that the existing elevator safety control methods lack sufficient intelligence in the generation of elevator maintenance and control strategies, and mostly rely on the experience of maintenance personnel for judgment, which not only increases maintenance costs, but also fails to ensure the optimality and efficiency of elevator maintenance.

[0005] To solve the above technical problems, the present invention provides the following technical solutions: a safety control method for an elevator, comprising: installing sensors to collect elevator operation data and historical data for preprocessing; analyzing the elevator operation status through the elevator operation data, predicting elevator failures in combination with historical data and performing elevator maintenance, and re-collecting operation data after maintenance to evaluate the elevator maintenance effect; intelligently generating an elevator control strategy based on the re-collected elevator operation data and implementing it; storing all data in a database and implementing protection measures.

[0006] As a preferred solution of the elevator safety control method described in the present invention, the installation of sensors to collect elevator operation data and historical data for preprocessing refers to installing multimodal sensors on the elevator to collect elevator operation speed and acceleration data, load data, door opening and closing interval data, video monitoring data, operation time data, fault record data and historical maintenance data for cleaning and filtering, and converting them into a unified format.

[0007] As a preferred solution of the elevator safety control method of the present invention, wherein: analyzing the elevator operation status through elevator operation data refers to analyzing the elevator operation status through pre-processed elevator operation data:

[0008]

[0009] Where S is the elevator operation status score, v(t) is the speed of the elevator at time t, a(t) is the acceleration, l(t) is the elevator load at time t, λ is the adjustment parameter affected by the elevator load, T is the analysis time period, F is the number of elevator door openings and closings within the time period T, and d i is the time interval from the i-th elevator door switch to the next elevator door switch, ρ is the adjustment parameter affected by the number of elevator door switches, C is the number of elevator stops in time period T, and ξ is the adjustment parameter affected by the number of elevator stops.

[0010] As a preferred solution of the elevator safety control method of the present invention, wherein: the performing elevator maintenance after predicting elevator failures in combination with historical data refers to combining the collected elevator operation data with historical data to predict future elevator failures:

[0011]

[0012] Where P(f) represents the probability of elevator failure, T1 is the prediction time period, N is the number of maintenance times within the prediction time period, and m i is the time interval from the ith maintenance to the next maintenance, α and β are the influence coefficients of balancing operation data and historical data;

[0013] After obtaining the elevator operation status score, compare it with the status assessment threshold S1. If S is greater than or equal to S1, it means that the elevator is in good operation. If S is less than S1, it means that the elevator is in poor operation. After obtaining the elevator failure probability, compare it with the preset failure threshold P(f1). If P(f) is less than P(f1), it means that the elevator is not likely to fail during the predicted time period. If P(f) is not less than P(f1), it means that the elevator is prone to failure during the predicted time period. The elevator is maintained based on the elevator operation status and future elevator failure conditions:

[0014] If the elevator is in good operating condition and is unlikely to break down within the predicted time, the elevator will be regularly maintained and its operating data will be regularly collected to monitor its operating condition;

[0015] If the elevator is in good operating condition but is prone to failure within the predicted time, the elevator operation data will be specifically analyzed to determine the elevator operation failure point and failure cause within the predicted time period, and the staff will be notified to carry out targeted maintenance on the elevator failure point;

[0016] If the elevator is in poor operating condition but is unlikely to fail within the predicted time, notify the staff to check the elevator operating condition, analyze the elevator operation process based on the elevator operation data, and complete the elevator maintenance without causing any failure;

[0017] If the elevator is in poor operating condition and is prone to malfunction within the predicted time, the elevator will be temporarily stopped and the staff will be notified to perform overall maintenance on the elevator, shortening the regular maintenance period and increasing the frequency of elevator maintenance.

[0018] As a preferred solution of the elevator safety control method of the present invention, wherein: the re-collection of operation data after maintenance to evaluate the elevator maintenance effect refers to re-collecting the elevator operation data after the elevator maintenance to analyze the elevator operation state S'' and the elevator future fault condition P(f'') so as to judge the elevator maintenance effect:

[0019] If S''>S and P(f'')<P(f) after elevator maintenance, it means that the elevator maintenance effect is good, the elevator operation status is optimized, the failure probability is reduced, and the elevator is maintained regularly. During regular maintenance, the elevator operation data is collected to detect the elevator operation status, and the detection record and elevator maintenance record are generated simultaneously;

[0020] If S''≤S or P(f'')≥P(f) after elevator maintenance, it means that the elevator maintenance effect is general. The elevator maintenance records are collected and sent to the staff for review. The shortcomings in the elevator maintenance records are analyzed, and an elevator maintenance strategy is formulated based on the maintenance shortcomings to re-maintain the elevator. After maintenance, the elevator operating status and future elevator failure conditions are re-analyzed until S''>S and P(f'')<P(f) to complete the elevator maintenance. Finally, all maintenance processes are integrated to generate a comprehensive elevator maintenance record.

[0021] As a preferred solution of the elevator safety control method of the present invention, wherein: the intelligent generation of the elevator control strategy based on the re-collected elevator operation data for implementation refers to formulating the elevator intelligent control strategy based on the re-collected elevator operation data after the elevator maintenance:

[0022]

[0023] Where C is the output value of the elevator control strategy, v(t) is the running speed at time t, g is the acceleration of gravity, l(t) is the load at time t, δ(t) is the frequency of elevator door opening and closing within time t, and H j is the impact assessment value of the j-th type of data in the historical data, σ j To adjust the coefficient of historical data influence, n is the number of historical data types. The elevator operating parameters are adjusted according to the output value of the elevator control strategy to form an elevator intelligent control strategy and implement it.

[0024] As a preferred solution of the elevator safety control method described in the present invention, wherein: the storing of all data in a database and the implementation of protection measures refers to storing the collected elevator operation data and historical data, elevator operation status analysis results, elevator future fault prediction results, elevator maintenance measures, elevator maintenance evaluation results and elevator intelligent control strategies in a database, and setting a security password. The database regularly detects the stored data and monitors the data access process throughout. After the access is completed, the database re-scans the integrity of the stored data to generate detection records for synchronous storage.

[0025] An elevator safety control device, characterized in that it comprises:

[0026] Data acquisition module, used to collect and pre-process elevator operation data and historical data;

[0027] The status analysis and prediction module is used to analyze and judge the elevator operation status based on the elevator operation data, and predict the future fault conditions of the elevator based on historical data;

[0028] An execution evaluation module is used to execute elevator maintenance measures according to the elevator operation status and future elevator failure conditions obtained by the status analysis and prediction module, and to evaluate the elevator maintenance effect, and implement treatment measures according to the evaluation results after obtaining the evaluation results;

[0029] Strategy formulation module, used to formulate and implement elevator operation control strategies based on elevator operation data after maintenance;

[0030] The data storage module is used to store the collected and generated data and implement data security protection measures.

[0031] A computer device comprises: a memory and a processor; the memory stores a computer program, wherein the processor implements the steps of the above-mentioned elevator safety control method when executing the computer program.

[0032] A computer-readable storage medium stores a computer program, wherein the computer program implements the steps of the above-mentioned elevator safety control method when executed by a processor.

[0033] The beneficial effects of the present invention are as follows: the present invention analyzes the elevator operation status by collecting elevator operation data and historical data, and predicts future elevator failure conditions, and implements elevator maintenance measures according to the elevator operation status and future elevator failure conditions, thereby being able to effectively prevent elevator failures and handle them in advance, reduce manual workload, and improve elevator maintenance efficiency. At the same time, after the elevator maintenance is performed, an elevator intelligent control strategy is generated for implementation, so that the elevator operation status is guaranteed, the probability of elevator failures is reduced, and the elevator operation efficiency and safety are significantly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0035] Figure 1 The figure is a flow chart of a safety control method for an elevator.

[0036] Figure 2 Schematic diagram of the implementation of the safety control method of the elevator.

[0037] Figure 3 It is a structural schematic diagram of the safety control device of the elevator. DETAILED DESCRIPTION

[0038] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0039] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0040] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0041] Example 1

[0042] Reference Figure 1 and Figure 2, which is the first embodiment of the present invention, and this embodiment provides a safety control method for an elevator, and the safety control method for an elevator comprises the following steps:

[0043] S1. Install sensors to collect elevator operation data and historical data for preprocessing;

[0044] Specifically, installing sensors to collect elevator operation data and historical data for preprocessing means installing multimodal sensors on the elevator to collect elevator operation speed and acceleration data, load data, door opening and closing interval data, video monitoring data, operation time data, fault record data, and historical maintenance data for cleaning and filtering, and converting them into a unified format.

[0045] By collecting data such as the elevator's running speed, acceleration, and load, the elevator's operating efficiency can be monitored and analyzed in real time. For example, by analyzing load data, the elevator dispatch strategy can be optimized, waiting time can be reduced, and passenger efficiency can be improved. The collection and analysis of door opening and closing interval data and video surveillance data can help monitor the operating status of elevator doors and passenger behavior, and promptly identify safety hazards such as door pinching incidents, so that preventive measures can be taken. By analyzing the elevator's running time, fault records, and historical maintenance data, potential elevator failures can be predicted. This predictive maintenance strategy can take maintenance measures before a failure occurs, reduce elevator downtime, and extend the service life of the elevator. Data in a unified format provides a powerful data support platform for elevator operators and maintenance teams, allowing the decision-making process to be based on actual data, making it more accurate and effective.

[0046] S2. Analyze the elevator operation status through elevator operation data, predict elevator failures based on historical data, and perform elevator maintenance. After maintenance, re-collect operation data to evaluate the elevator maintenance effect;

[0047] Specifically, analyzing the elevator operation status through elevator operation data refers to analyzing the elevator operation status through preprocessed elevator operation data:

[0048]

[0049] Where S is the elevator operation status score, v(t) is the speed of the elevator at time t, a(t) is the acceleration, l(t) is the elevator load at time t, λ is the adjustment parameter affected by the elevator load, T is the analysis time period, F is the number of elevator door openings and closings within the time period T, and d i is the time interval from the i-th elevator door switch to the next elevator door switch, ρ is the adjustment parameter affected by the number of elevator door switches, C is the number of elevator stops in time period T, and ξ is the adjustment parameter affected by the number of elevator stops.

[0050] Through real-time monitoring and analysis of elevator operation data, abnormal conditions of the elevator, such as failures or performance degradation, can be discovered in time, so that maintenance or repair measures can be taken before the problem expands to ensure the safe operation of the elevator. By analyzing the changing trend of the elevator operation status score, the maintenance needs of the elevator can be predicted, so as to formulate a more efficient and economical maintenance and repair plan. Through regular elevator operation status analysis and timely maintenance, the wear and tear of the elevator can be effectively reduced and the service life of the elevator can be extended. Analysis of data such as the elevator load and door opening and closing intervals can help managers understand the use of the elevator, thereby optimizing the elevator scheduling strategy and improving the use efficiency of the elevator and passenger satisfaction.

[0051] Furthermore, combining historical data to predict elevator failures and then performing elevator maintenance means combining the collected elevator operation data with historical data to predict future elevator failures:

[0052]

[0053] Where P(f) represents the probability of elevator failure, T1 is the prediction time period, N is the number of maintenance times within the prediction time period, and m i is the time interval from the ith maintenance to the next maintenance, α and β are the influence coefficients of the balanced operation data and historical data, and the threshold range is (0,1);

[0054] After obtaining the elevator operation status score, compare it with the status assessment threshold S1. If S is greater than or equal to S1, it means that the elevator is in good operation. If S is less than S1, it means that the elevator is in poor operation. After obtaining the elevator failure probability, compare it with the preset failure threshold P(f1). If P(f) is less than P(f1), it means that the elevator is not likely to fail during the predicted time period. If P(f) is not less than P(f1), it means that the elevator is prone to failure during the predicted time period. The elevator is maintained based on the elevator operation status and future elevator failure conditions:

[0055] If the elevator is in good operating condition and is unlikely to break down within the predicted time, the elevator will be regularly maintained and its operating data will be regularly collected to monitor its operating condition;

[0056] If the elevator is in good operating condition but is prone to failure within the predicted time, the elevator operation data will be specifically analyzed to determine the elevator operation failure point and failure cause within the predicted time period, and the staff will be notified to carry out targeted maintenance on the elevator failure point;

[0057] If the elevator is in poor operating condition but is unlikely to fail within the predicted time, notify the staff to check the elevator operating condition, analyze the elevator operation process based on the elevator operation data, and complete the elevator maintenance without causing any failure;

[0058] If the elevator is in poor operating condition and is prone to malfunction within the predicted time, the elevator will be temporarily stopped and the staff will be notified to perform overall maintenance on the elevator, shortening the regular maintenance period and increasing the frequency of elevator maintenance.

[0059] By analyzing the historical maintenance data and real-time operation data of the elevator, this method can identify early signals that may lead to failures and realize early warning of potential failures. This warning mechanism enables the maintenance team to intervene in advance and take necessary maintenance measures to avoid the occurrence of failures and ensure the continuity and reliability of elevator operation. Through in-depth analysis of elevator operation data, this method provides strong data support for maintenance decisions. The maintenance team can formulate a more reasonable and effective maintenance plan based on the actual operating status of the elevator and the predicted failure probability to ensure that maintenance resources are used efficiently and reduce sudden failures through preventive maintenance. This method can significantly reduce the high cost and time loss caused by emergency repairs. The advance planning and execution of maintenance work helps to disperse maintenance costs and avoid large one-time expenditures. At the same time, it improves the operating efficiency of the elevator. The high reliability and safety of the elevator directly affect the passenger's experience and satisfaction. The effective maintenance achieved by this method can ensure the smooth operation of the elevator and reduce the downtime of failures, thereby improving the user's trust and satisfaction with the elevator service provider.

[0060] It should also be noted that recollecting operation data after maintenance to evaluate the elevator maintenance effect means recollecting the elevator operation data after elevator maintenance to analyze the elevator operation status S'' and the elevator future fault situation P(f'') so as to judge the elevator maintenance effect:

[0061] If S''>S and P(f'')<P(f) after elevator maintenance, it means that the elevator maintenance effect is good, the elevator operation status is optimized, the failure probability is reduced, and the elevator is maintained regularly. During regular maintenance, the elevator operation data is collected to detect the elevator operation status, and the detection record and elevator maintenance record are generated simultaneously;

[0062] If S''≤S or P(f'')≥P(f) after elevator maintenance, it means that the elevator maintenance effect is general. The elevator maintenance records are collected and sent to the staff for review. The shortcomings in the elevator maintenance records are analyzed, and an elevator maintenance strategy is formulated based on the maintenance shortcomings to re-maintain the elevator. After maintenance, the elevator operating status and future elevator failure conditions are re-analyzed until S''>S and P(f'')<P(f) to complete the elevator maintenance. Finally, all maintenance processes are integrated to generate a comprehensive elevator maintenance record.

[0063] By accurately evaluating the effectiveness of elevator maintenance, maintenance resources can be allocated more reasonably. For elevators with good effects, the maintenance cycle can be appropriately extended, so that more resources and attention can be focused on elevators that require more frequent maintenance, thereby achieving optimal utilization of resources. The evaluation of maintenance effects can not only confirm which maintenance measures are effective, but also reveal deficiencies in the maintenance process, which provides a basis for continuously improving the quality of maintenance work. By continuously improving maintenance strategies and methods, the reliability and performance of elevators can be continuously improved. Accurately evaluating and timely optimizing elevator maintenance plans can effectively reduce elevator wear and damage and extend the service life of elevators, which not only reduces long-term maintenance costs, but also reduces the frequency of large-scale renovations or replacements of elevators. The continuous optimization of elevator maintenance effects means that passengers will enjoy a smoother and safer ride experience, reduce failures and waiting time, and improve the operating efficiency of elevators, which directly affects user satisfaction and the overall value of the building.

[0064] S3, intelligently generate an elevator control strategy based on the re-collected elevator operation data and implement it;

[0065] Specifically, the intelligent generation of an elevator control strategy based on the re-collected elevator operation data for implementation refers to formulating an elevator intelligent control strategy based on the re-collected elevator operation data after elevator maintenance:

[0066]

[0067] Where C is the output value of the elevator control strategy. The value range of C is a positive real number. A lower value indicates that the elevator control strategy should be more conservative to reduce the risk of failure and improve safety. A higher value indicates that the elevator control strategy can be more aggressive to improve efficiency and response speed. v(t) is the running speed at time t, g is the acceleration of gravity, l(t) is the load at time t, δ(t) is the frequency of elevator door opening and closing within time t, and H j is the impact assessment value of the jth type of data in the historical data, such as failure frequency or maintenance times, which can be determined by staff evaluation, σ j To adjust the coefficient of historical data influence, n is the number of historical data types. The elevator operating parameters are adjusted according to the output value of the elevator control strategy to form an elevator intelligent control strategy and implement it.

[0068] By intelligently generating elevator control strategies, the elevator's operating parameters can be adjusted according to the elevator's specific operating conditions and historical maintenance records. This personalized adjustment makes the elevator operation more efficient while ensuring maximum safety. As the elevator operation data is continuously updated, the elevator control strategy will also be dynamically adjusted accordingly to respond to the elevator's real-time operating conditions and performance changes. This dynamic optimization helps to achieve the best balance between elevator operation efficiency and safety. By intelligently analyzing the elevator operation data and adjusting the elevator's operation strategy accordingly, the elevator's operating efficiency and response speed can be effectively improved, which not only reduces the elevator's waiting time, but also improves the overall satisfaction with the elevator's use. Intelligent control strategies can reduce elevator failures caused by excessive or improper use, thereby extending the elevator's service life and reducing maintenance and repair costs. In addition, by predicting potential failures and performing maintenance in advance, the failure rate can be further reduced.

[0069] S4. Store all data in the database and implement protection measures;

[0070] Specifically, storing all data in the database and implementing protection measures means storing the collected elevator operation data and historical data, elevator operation status analysis results, elevator future fault prediction results, elevator maintenance measures, elevator maintenance evaluation results and elevator intelligent control strategies in the database, and setting a security password. The database regularly checks the stored data and monitors the data access process throughout. After the access is completed, the database re-scans the stored data for integrity and generates detection records for synchronous storage.

[0071] By setting a security password and conducting regular inspections, the risk of unauthorized access or malicious attacks on data can be significantly reduced, and sensitive elevator operation and maintenance data can be protected from leakage. Full-process monitoring and integrity scanning ensure the integrity of data during storage, access and modification, and reduce information loss caused by data corruption or misoperation. The stored elevator operation status analysis results, future fault prediction results, and intelligent control strategies are essential for formulating effective elevator maintenance plans and control strategies. A safe and reliable data storage environment ensures the credibility of these decision-making bases. By real-time monitoring and analysis of elevator operation data, potential faults can be discovered in a timely manner and preventive measures can be taken, thereby reducing elevator downtime and maintenance costs. The stored maintenance assessment results and intelligent control strategy detection records provide valuable historical data for elevator operation and maintenance, which helps to continuously improve elevator maintenance and control strategies and promote technological progress.

[0072] Example 2

[0073] Reference Figure 3, which is the second embodiment of the present invention, and which is different from the previous embodiment, provides a safety control device for an elevator, characterized in that it includes:

[0074] Data acquisition module, used to collect and pre-process elevator operation data and historical data;

[0075] The status analysis and prediction module is used to analyze and judge the elevator operation status based on the elevator operation data, and predict the future fault conditions of the elevator based on historical data;

[0076] An execution evaluation module is used to execute elevator maintenance measures according to the elevator operation status and future elevator failure conditions obtained by the status analysis and prediction module, and to evaluate the elevator maintenance effect, and implement treatment measures according to the evaluation results after obtaining the evaluation results;

[0077] Strategy formulation module, used to formulate and implement elevator operation control strategies based on elevator operation data after maintenance;

[0078] The data storage module is used to store the collected and generated data and implement data security protection measures.

[0079] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program codes.

[0080] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0081] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0082] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0083] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A safety control method for an elevator, characterized in that: include, Install sensors to collect elevator operation data and historical data for pre-processing; Analyze the elevator operation status through elevator operation data, predict elevator failures based on historical data, and then perform elevator maintenance. After maintenance, re-collect operation data to evaluate the elevator maintenance effect; Intelligently generate elevator control strategies based on the re-collected elevator operation data for implementation; Store all data in a database and implement protection measures; The installation of sensors to collect elevator operation data and historical data for preprocessing refers to installing multimodal sensors on the elevator to collect elevator operation speed and acceleration data, load data, door opening and closing interval data, video monitoring data, operation time data, fault record data and historical maintenance data for cleaning and filtering, and converting them into a unified format; Analyzing the elevator operation status through elevator operation data refers to analyzing the elevator operation status through pre-processed elevator operation data: Where S is the elevator operation status score, v(t) is the speed of the elevator at time t, a(t) is the acceleration, l(t) is the elevator load at time t, λ is the adjustment parameter affected by the elevator load, T is the analysis time period, F is the number of elevator door openings and closings within the time period T, and d i is the time interval from the i-th elevator door switch to the next elevator door switch, ρ is the adjustment parameter affected by the number of elevator door switches, C is the number of elevator stops in time period T, ξ is the adjustment parameter affected by the number of elevator stops; The method of performing elevator maintenance after predicting elevator failures based on historical data refers to combining the collected elevator operation data with historical data to predict future elevator failures: Where P(f) represents the probability of elevator failure, T1 is the prediction time period, N is the number of maintenance times within the prediction time period, and m i is the time interval from the ith maintenance to the next maintenance, α and β are the influence coefficients of balancing operation data and historical data; After obtaining the elevator operation status score, compare it with the status assessment threshold S1. If S is greater than or equal to S1, it means that the elevator is in good operation. If S is less than S1, it means that the elevator is in poor operation. After obtaining the elevator failure probability, compare it with the preset failure threshold P(f1). If P(f) is less than P(f1), it means that the elevator is not likely to fail during the predicted time period. If P(f) is not less than P(f1), it means that the elevator is prone to failure during the predicted time period. The elevator is maintained based on the elevator operation status and future elevator failure conditions: If the elevator is in good operating condition and is unlikely to break down within the predicted time, the elevator will be regularly maintained and its operating data will be regularly collected to monitor its operating condition; If the elevator is in good operating condition but is prone to failure within the predicted time, the elevator operation data will be specifically analyzed to determine the elevator operation failure point and failure cause within the predicted time period, and the staff will be notified to carry out targeted maintenance on the elevator failure point; If the elevator is in poor operating condition but is unlikely to fail within the predicted time, notify the staff to check the elevator operating condition, analyze the elevator operation process based on the elevator operation data, and complete the elevator maintenance without causing any failure; If the elevator is in poor operating condition and is prone to malfunction within the predicted time, the elevator will be temporarily stopped and the staff will be notified to perform overall maintenance on the elevator, shortening the regular maintenance period and increasing the frequency of elevator maintenance.

2. The elevator safety control method according to claim 1, characterized in that: The post-maintenance re-collection of operation data to evaluate the elevator maintenance effect refers to re-collecting the elevator operation data after the elevator maintenance to analyze the elevator operation status S'' and the elevator future fault situation P(f'') so as to judge the elevator maintenance effect: If S''>S and P(f'')<P(f) after elevator maintenance, it means that the elevator maintenance effect is good, the elevator operation status is optimized, the failure probability is reduced, and the elevator is maintained regularly. During regular maintenance, the elevator operation data is collected to detect the elevator operation status, and the detection record and elevator maintenance record are generated simultaneously; If S''≤S or P(f'')≥P(f) after elevator maintenance, it means that the elevator maintenance effect is general. The elevator maintenance records are collected and sent to the staff for review. The shortcomings in the elevator maintenance records are analyzed, and an elevator maintenance strategy is formulated based on the maintenance shortcomings to re-maintain the elevator. After maintenance, the elevator operating status and future elevator failure conditions are re-analyzed until S''>S and P(f'')<P(f) to complete the elevator maintenance. Finally, all maintenance processes are integrated to generate a comprehensive elevator maintenance record.

3. The elevator safety control method according to claim 2, characterized in that: The intelligent generation of an elevator control strategy based on the re-collected elevator operation data for implementation refers to formulating an elevator intelligent control strategy based on the re-collected elevator operation data after elevator maintenance: Where C is the output value of the elevator control strategy, v(t) is the running speed at time t, g is the acceleration of gravity, l(t) is the load at time t, δ(t) is the frequency of elevator door opening and closing within time t, and H j is the impact assessment value of the j-th type of data in the historical data, σ j To adjust the coefficient of historical data influence, n is the number of historical data types. The elevator operating parameters are adjusted according to the output value of the elevator control strategy to form an elevator intelligent control strategy and implement it.

4. The elevator safety control method according to claim 3, characterized in that: The storing of all data in the database and the implementation of protection measures refers to storing the collected elevator operation data and historical data, elevator operation status analysis results, elevator future fault prediction results, elevator maintenance measures, elevator maintenance evaluation results and elevator intelligent control strategies in the database, and setting a security password. The database regularly detects the stored data and monitors the data access process throughout. After the access is completed, the database re-scans the stored data for integrity and generates detection records for synchronous storage.

5. An elevator safety control device, based on the elevator safety control method according to any one of claims 1 to 4, characterized in that: include, Data acquisition module, used to collect and pre-process elevator operation data and historical data; The status analysis and prediction module is used to analyze and judge the elevator operation status based on the elevator operation data, and predict the future fault conditions of the elevator based on historical data; An execution evaluation module is used to execute elevator maintenance measures according to the elevator operation status and future elevator failure conditions obtained by the status analysis and prediction module, and to evaluate the elevator maintenance effect, and implement treatment measures according to the evaluation results after obtaining the evaluation results; Strategy formulation module, used to formulate and implement elevator operation control strategies based on elevator operation data after maintenance; The data storage module is used to store the collected and generated data and implement data security protection measures.

6. A computer device comprising: Memory and processor; The memory stores a computer program, wherein the processor implements the steps of the method according to any one of claims 1 to 4 when executing the computer program.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

Images