An operation and maintenance service system and method for an intelligent parking lot

Abstract

The present invention discloses an operation and maintenance service system and method for an intelligent parking lot. The present invention relates to the technical field of parking lots and includes a collection module, a full-record monitoring module, a trend analysis module, a fault determination module, a stage maintenance module, a time distribution module, a time prediction module, and a full-cost calculation module. The advantages of the present invention are as follows: The fault determination module can perform fault determination on abnormal information, enabling users to better edit the repair sequence. The stage maintenance module can enable the current intelligent parking lot system to continue running during maintenance, reducing the risk of the entire intelligent parking lot system being paralyzed due to local faults. At the same time, it can more specifically process and analyze faults. The time distribution module can accurately determine the repair time distribution of different segmented fault information, making the repair plan more reasonable and accurate, thereby reducing the impact on users when the current intelligent parking lot system is under maintenance.

Description

Technical Field

[0001] The present invention relates to the technical field of parking lots, and specifically to an operation and maintenance service system and method for an intelligent parking lot. Background Technique

[0002] The IC card intelligent parking lot charging management system is a general term for the vehicle charging and equipment automation management of modern parking lots. This system organically combines machinery, electronic computers, automatic control equipment, and intelligent IC card technology. Through computer management, functions such as vehicle image comparison, automatic charging, and automatic data storage can be achieved. Moreover, this parking lot management system can operate offline and still ensure the normal entry and exit of vehicles in case of computer failures. It is an ideal facility for modern residential property management. The intelligent parking lot charging system is a network system built by computers, network devices, and lane management devices to manage the vehicle entry and exit of the parking lot, the traffic flow guidance inside the parking lot, and the collection of parking fees. It is an essential tool for professional parking lot management companies;

[0003] When general operation and maintenance service systems for intelligent parking lots repair the intelligent parking lot system, it is inconvenient to separate and segment the repair information, resulting in the repair time being prone to occur during the usage peak period of the intelligent parking lot system, affecting the normal use of users and reducing the user experience. For this reason, we propose an operation and maintenance service system and method for an intelligent parking lot. Summary of the Invention

[0004] The purpose of the present invention is to provide an operation and maintenance service system and method for an intelligent parking lot.

[0005] To solve the problems raised in the above background technique, the present invention provides the following technical solutions: An operation and maintenance service system for an intelligent parking lot, including a collection module, a full-record monitoring module, a trend analysis module, a fault determination module, a stage repair module, a time distribution module, a time prediction module, and a full-cost calculation module;

[0006] The collection module establishes a collection database and obtains data of previous intelligent parking lot systems and data changes when different intelligent parking lot systems fail through data exchange;

[0007] The full-record monitoring module obtains the data of the current intelligent parking lot system in real time and simultaneously monitors the equipment used inside the intelligent parking lot system;

[0008] The trend analysis module analyzes the data changes of the intelligent parking lot system and judges the possibility of the current intelligent parking lot system failing;

[0009] The fault determination module determines the fault levels when predicting faults and when the current intelligent parking lot system fails, analyzes the impact of the fault levels on the equipment in the current intelligent parking lot system, and then obtains the state of the current intelligent parking lot system;

[0010] The stage maintenance module obtains the fault data of the current intelligent parking lot system by means of data exchange, separates and segments the fault data, and does not affect the operation of the current intelligent parking lot system during the fault separation and segmentation, obtains the segmented fault data table, and enables the current intelligent parking lot system to be repaired in segments;

[0011] The time distribution module obtains the gate opening and closing times and frequencies of the current intelligent parking lot system by means of data exchange, analyzes the frequency valley value of the gate opening and closing, analyzes the time required for repairing different segmented fault data of the current intelligent parking lot system at this time, and then matches the repair time with the frequency valley value to obtain the best time for repairing different segmented fault data, and obtains the segmented maintenance layout;

[0012] The time prediction module analyzes different segmented maintenance information of the current intelligent parking lot system, matches different segmented maintenance information into appropriate frequency valley values, and calculates the time required for the current intelligent parking lot system to complete the repair;

[0013] The full-cost calculation module analyzes the fault repair factors of the current intelligent parking lot system and calculates the full-cost of the repair of the current intelligent parking lot system.

[0014] As a further solution of the present invention: when the acquisition module obtains the data change information when different intelligent parking lot systems fail, it extracts the fault characteristics of the fault data, analyzes the common points in the fault characteristics, and establishes a fault information support library, and records all the information on the failures of different intelligent parking lot systems in the fault information support library. When the full-record monitoring module monitors the equipment in use, it analyzes the startup and running time of the current equipment, establishes a running time table at the same time, and then records the previous equipment startup and running time information in the running time table. Let the reference startup and running time of the equipment be Z Q , let the current startup and running time of the equipment be D Q , let the difference in startup and running time of the equipment be QY;

[0015] When Z Q -QY ≤ D Q ≤ Z Q +QY, the startup and running time information of the current equipment will be replaced with the reference startup and running time, and the replaced reference startup and running time will be recorded in the running time table;

[0016] When D Q < Z QWhen -QY, the time information of the current device starting and running will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module;

[0017] When D Q >Z Q +QY, the time information of the current device starting and running will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module.

[0018] As a further solution of the present invention: when the trend analysis module receives the abnormal information transmitted by the full-record monitoring module, it will analyze the abnormal cause leading to the abnormal information, extract the abnormal characteristics of the abnormal cause, and then use the abnormal characteristics to match the fault characteristics, so as to extract the fault information, and perform prediction processing on the current intelligent parking lot system with abnormal characteristics according to the fault information, analyze the probabilities of different subsequent faults occurring in the current intelligent parking lot system, retrieve the processing solutions for different faults, and display the information of the processing solutions for different faults.

[0019] As a further solution of the present invention: the fault determination module can receive the information processed by the trend analysis module. When the fault determination module receives the abnormal information, it will perform fault determination on the abnormal information according to the information in the fault information support library, and officially classify the abnormal information as fault information. At the same time, it will establish a fault level according to the impact of the fault information on the current intelligent parking lot system. The specific level classification is as follows:

[0020] The first-level fault level refers to the fault information that will not affect the current intelligent parking lot system;

[0021] The second-level fault level refers to the fault information that will affect the current intelligent parking lot system, but this fault will not affect the operation of the current intelligent parking lot system during maintenance;

[0022] The third-level fault level refers to the fault information that will affect the current intelligent parking lot system, but it is necessary to perform manual processing so that this fault will not affect the operation of the current intelligent parking lot system during maintenance;

[0023] The fourth-level fault level refers to the fault information that will affect the current intelligent parking lot system, and at the same time, the operation of the current intelligent parking lot system must be stopped during the repair of this fault.

[0024] As a further solution of the present invention: the stage maintenance module can receive the information processed by the fault determination module. When the stage maintenance module separates and segments the fault data, the stage maintenance module will automatically edit the operation process of the functions in the intelligent parking lot system, place the function process of the fault at the back end of the overall process, and establish a shunt line to separate the fault function from the functions that can operate normally;

[0025] An external unit is established, and the functional data of the intelligent parking lot system is recorded inside the external unit, and the models of different intelligent parking lot systems are edited on the functional data;

[0026] After the operation process of the faulty function of the current intelligent parking lot system is edited, the model data of the faulty function will be recorded. At this time, the stage maintenance module will access the external unit, retrieve the functional data of the same model as the faulty function inside the external unit, and then establish a runtime library inside the external unit, and transfer the retrieved functional data to the runtime library;

[0027] Then the external unit accesses the function operation process edited by the stage maintenance module, sorts the functional data in the runtime library according to the function operation process edited by the stage maintenance module, and then inserts the edited functional data in the runtime library into the shunt line in the form of data exchange;

[0028] When the faulty function is being repaired, the operation of the intelligent parking lot system will automatically switch to the functional data on the shunt line when encountering the shunt line;

[0029] Then the fault data is separated to obtain segmented fault data, and the segmented fault data is recorded in the segmented fault data table.

[0030] As a further solution of the present invention: The time distribution module can receive the information processed by the stage maintenance module, and set the different frequency valleys of the gate switch as P G = P G1 、P G2 、P G3 、……、P GK ,where K is an unknown, and set the repair time of different segmented fault data as W X = W1, W2, W3, ……, W Y ,where Y is the number of fault segments, set a primary matching scheme as P F1 ,set a secondary extraction scheme as P F2 ;

[0031] P F1 = P G ∩W X

[0032] P F1 =(P G1 、P G2 、P G3 、……、P GX )∩(W1, W2, W3, ……, W Y )

[0033] P F2 =(W1, W2, W3, ……, WY)∈(PG1 , P G2 , P G3 , ……, P GC )

[0034] Then extract the different frequency trough values that exceed the maintenance time of different segmented fault data, so as to obtain the secondary extraction scheme P F2 of the information, and set the summary matching scheme as Z P ;

[0035] Z P = P F1 ∪P F2

[0036] According to the above formula, the time distribution of the maintenance of different segmented fault information can be obtained;

[0037] Set the pure maintenance time as W Z ;

[0038]

[0039] According to the above formula, the pure maintenance time can be calculated.

[0040] As a further scheme of the present invention: the time prediction module can receive the information processed by the time distribution module. When calculating the time to complete the maintenance of the current intelligent parking lot system, it is necessary to avoid the usage peak of the intelligent parking lot system and reduce the impact of the intelligent parking lot system during maintenance. Let the interval of different frequency trough values matching the maintenance time be GJ = G 1 , G 2 , G 3 , ……, G P , where P is the number of frequency trough values of the interval, and let the interval time of different frequency trough values matching be J s = J1, J2, J3, ……, J L , where L is the number of times of time, and let the time to complete the maintenance be W S ;

[0041] W S = W Z + J1G 1 + J2G 2 + J3G 3 + …… + J L G P

[0042] Through the above formula, the time to complete the maintenance can be calculated.

[0043] As a further solution of the present invention: the full cost calculation module can receive the information processed by the time prediction module, so as to obtain the maintenance plan of the current intelligent parking lot system, obtain the maintenance capital cost of the current intelligent parking lot system, synchronously extract and calculate the pure maintenance time and the preparation time required during maintenance, so as to calculate the time cost of maintaining the current intelligent parking lot system, and publicize the calculated maintenance capital cost and maintenance time cost.

[0044] In addition, the present invention also provides an operation and maintenance service method for an intelligent parking lot, including the following steps:

[0045] Step 1: Use the data exchange method to obtain the data of the previous intelligent parking lot system and the data changes when different intelligent parking lot systems fail, extract the fault characteristics of the fault data, analyze the common points in the fault characteristics, obtain the data of the current intelligent parking lot system in real time, and at the same time monitor the equipment used inside the intelligent parking lot system, analyze the startup and operation time of the current equipment, establish an operation schedule, and then record the previous equipment startup and operation time information in the operation schedule;

[0046] Step 2: Analyze the data changes of the intelligent parking lot system, judge the possibility of the current intelligent parking lot system failing, and at the same time establish a fault level according to the impact of the fault information on the current intelligent parking lot system, use the data exchange method to obtain the fault data of the current intelligent parking lot system, and segment and separate the fault data, and at the same time automatically edit the operation process of the functions in the intelligent parking lot system, so that the fault function process is placed at the back end of the overall process;

[0047] Step 3: Establish an operation library in the external unit, sort the function data in the operation library according to the function operation process edited by the stage maintenance module, and then insert the edited function data in the operation library into the shunt line in the form of data exchange. When the operation of the intelligent parking lot system encounters the shunt line, it will automatically run and exchange to the function data on the shunt line;

[0048] Step 4: Analyze the frequency valley value of the gate switch. At this time, analyze the time required for repairing the fault data of different segments of the current intelligent parking lot system, and then match the repair time with the frequency valley value to obtain the best time for repairing the fault data of different segments, and obtain the segmented repair layout;

[0049] Step 5: Calculate the time required for the current intelligent parking lot system to complete the repair, and publicize the calculated maintenance capital cost and maintenance time cost.

[0050] Adopting the above technical solutions, compared with the prior art, the beneficial effects of the present invention are as follows:

[0051] 1. The fault determination module of the present invention can perform fault determination on abnormal information, understand the scope of influence of the abnormal information, enabling users to better edit the repair sequence. The stage repair module enables the current intelligent parking lot system to continue running during maintenance, reducing the risk of the entire intelligent parking lot system being paralyzed due to local faults, improving the stability and reliability of the system, and enabling more targeted processing and analysis of faults. The time distribution module can accurately determine the repair time distribution of different segmented fault information, making the repair plan more reasonable and accurate, thereby reducing the impact on users during the maintenance of the current intelligent parking lot system;

[0052] 2. The full-record monitoring module of the present invention can timely replace and compare the startup running time, ensuring that the data in the operation schedule always remains the latest and most accurate, providing a reliable basis for evaluating equipment performance and optimizing operation. The trend analysis module can analyze the reasons for abnormalities during the operation of the current intelligent parking lot system, enabling users to take preventive measures in advance, reducing the possibility of faults occurring, and displaying solutions for different faults, improving the efficiency of resolving abnormal information;

[0053] 3. The time prediction module of the present invention can avoid the peak usage period of the intelligent parking lot system for repair time, thereby minimizing the interference of repair on the normal parking and use services of parking lot users. The full-cost calculation module can accurately calculate the funds and time costs of repair, providing accurate data support for the repair prediction of the current intelligent parking lot system, enabling advance planning and reserve of repair funds, and avoiding repair delays due to insufficient funds. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 It is a schematic diagram of the system process in an embodiment of the present invention;

[0055] Figure 2 It is a schematic diagram of the method steps in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0056] The following further describes the specific embodiments of the present invention in conjunction with the drawings. It should be noted here that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation to the present invention.

[0057] In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0058] Please refer to the attached Figure 1 - attached Figure 2, an operation and maintenance service system for an intelligent parking lot of the present invention includes a collection module, a full-record monitoring module, a trend analysis module, a fault determination module, a stage maintenance module, a time distribution module, a time prediction module, and a full-cost calculation module;

[0059] The collection module establishes a collection database and obtains data of previous intelligent parking lot systems and data changes when different intelligent parking lot systems fail through data exchange;

[0060] The full-record monitoring module obtains data of the current intelligent parking lot system in real time and monitors the equipment used inside the intelligent parking lot system;

[0061] The trend analysis module analyzes the data changes of the intelligent parking lot system and judges the possibility of failure of the current intelligent parking lot system;

[0062] The fault determination module judges the fault levels of the predicted fault and the current intelligent parking lot system when a failure occurs, analyzes the impact of the fault level on the equipment inside the current intelligent parking lot system, and then obtains the state of the current intelligent parking lot system;

[0063] The stage maintenance module obtains the fault data of the current intelligent parking lot system through data exchange, separates and segments the fault data, and does not affect the operation of the current intelligent parking lot system during the fault separation and segmentation, obtains a segmented fault data table, and enables the current intelligent parking lot system to be repaired in segments;

[0064] The time distribution module obtains the gate opening and closing times and frequencies of the current intelligent parking lot system through data exchange, analyzes the frequency valleys of the gate opening and closing, analyzes the repair time required for different segmented fault data of the current intelligent parking lot system at this time, and then matches the repair time with the frequency valleys to obtain the best repair time for different segmented fault data and obtain a segmented repair layout;

[0065] The time prediction module analyzes different segmented maintenance information of the current intelligent parking lot system, matches different segmented maintenance information into appropriate frequency valleys, and calculates the time required for the current intelligent parking lot system to complete the repair;

[0066] The full-cost calculation module analyzes the fault repair factors of the current intelligent parking lot system and calculates the all-round cost of repairing the current intelligent parking lot system.

[0067] In one embodiment of the present invention: When the acquisition module obtains the data change information during the failure of different intelligent parking lot systems, it extracts the failure characteristics of the failure data, analyzes the common points in the failure characteristics, and establishes a failure information support library, recording all the information about the failures of different intelligent parking lot systems in the failure information support library. When the full-record monitoring module monitors the equipment in use, it analyzes the startup and operation time of the current equipment, establishes an operation time table at the same time, and then records the previous startup and operation time information of the equipment in the operation time table. Let the reference startup and operation time of the equipment be Z Q Let the current startup and operation time of the equipment be D Q Let the difference in the startup and operation time of the equipment be Q Y ;

[0068] When Z Q -QY ≤ D Q ≤ Z Q +QY, the startup and operation time information of the current equipment will be replaced with the reference startup and operation time, and the replaced reference startup and operation time will be recorded in the operation time table;

[0069] When D Q < Z Q -QY, the startup and operation time information of the current equipment will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module;

[0070] When D Q > Z Q +QY, the startup and operation time information of the current equipment will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module.

[0071] In one embodiment of the present invention: When the trend analysis module receives the abnormal information transmitted by the full-record monitoring module, it analyzes the abnormal cause leading to the abnormal information, extracts the abnormal characteristics of the abnormal cause, then uses the abnormal characteristics to match the failure characteristics, thereby extracting the failure information, and predicts and processes the current intelligent parking lot system with abnormal characteristics according to the failure information, analyzes the probabilities of different subsequent failures of the current intelligent parking lot system, retrieves the processing solutions for different failures, and displays the information of the processing solutions for different failures.

[0072] In one embodiment of the present invention: The failure determination module can receive the information processed by the trend analysis module. When the failure determination module receives the abnormal information, it determines the failure of the abnormal information according to the information in the failure information support library, and officially classifies the abnormal information as failure information. At the same time, it establishes a failure level according to the impact of the failure information on the current intelligent parking lot system. The specific level classification is as follows:

[0073] The first-level fault level refers to the fault information that will not affect the current intelligent parking lot system;

[0074] The second-level fault level refers to the fault information that will affect the current intelligent parking lot system, but this fault will not affect the operation of the current intelligent parking lot system during maintenance;

[0075] The third-level fault level refers to the fault information that will affect the current intelligent parking lot system, but it requires manual processing to ensure that this fault will not affect the operation of the current intelligent parking lot system during maintenance;

[0076] The fourth-level fault level refers to the fault information that will affect the current intelligent parking lot system, and at the same time, the operation of the current intelligent parking lot system must be stopped during the repair of this fault.

[0077] In an embodiment of the present invention: The stage maintenance module can receive the information processed by the fault determination module. When the stage maintenance module separates and segments the fault data, the stage maintenance module will automatically edit the operation process of the functions in the intelligent parking lot system, place the operation process of the faulty function at the back end of the overall process, and establish a shunt line to separate the faulty function from the functions that can operate normally;

[0078] An external unit is established, and the function data of the intelligent parking lot system is recorded inside the external unit, and the models of different intelligent parking lot systems are edited on the function data;

[0079] After the operation process of the faulty function in the current intelligent parking lot system is edited, the model data of the faulty function will be recorded. At this time, the stage maintenance module will access the external unit, retrieve the function data with the same model as the faulty function inside the external unit, and then establish an operation library inside the external unit to transfer the retrieved function data to the operation library;

[0080] Then the external unit accesses the function operation process edited by the stage maintenance module, sorts the function data in the operation library according to the function operation process edited by the stage maintenance module, and then inserts the function data that has been edited in the operation library into the shunt line in the form of data exchange;

[0081] When the faulty function is being repaired, the operation of the intelligent parking lot system will automatically switch to the function data on the shunt line when it encounters the shunt line;

[0082] Then the fault data is further separated to obtain segmented fault data, and the segmented fault data is recorded in the segmented fault data table.

[0083] In an embodiment of the present invention: The time distribution module can receive the information processed by the stage maintenance module, and set the different frequency valleys of the gate switch as PG = P G1 , P G2 , P G3 , ……, P GK , where K is an unknown, and let the repair time of different segmented fault data be W X = W1, W2, W3, ……, W Y , where Y is the number of fault segments, and let the first matching scheme be P F1 , and let the second extraction scheme be P F2 ;

[0084] P F1 = P G ∩W X

[0085] P F1 = (P G1 , P G2 , P G3 , ……, P Gx ) ∩ (W1, W2, v3, ……, W Y )

[0086] P F2 = (W1, W2, W3,......, W Y ) ∈ (P G1 , P G2 , P G3 , ……, P GX )

[0087] Then extract different frequency valley values exceeding the repair time of different segmented fault data, so as to obtain the information of the second extraction scheme P F2 , and let the summary matching scheme be Z P ;

[0088] Z P = P F1 ∪P F2

[0089] According to the above formula, the time distribution for repairing different segmented fault information can be obtained;

[0090] Let the pure repair time be W Z ;

[0091]

[0092] According to the above formula, the pure repair time can be calculated.

[0093] In one embodiment of the present invention: The time prediction module can receive the information processed by the time distribution module. When calculating the time to complete the maintenance of the current intelligent parking lot system, it is necessary to avoid the usage peak of the intelligent parking lot system to reduce the impact of the intelligent parking lot system during maintenance. Let the different frequency valley value intervals matching the maintenance time be GJ = G 1 、G 2 、G 3 、……、G P , where P is the number of frequency valley values of the interval. Let the different frequency valley value interval times matching be J s =J1, J2, J3, ……, J L , where L is the number of times of time. Let the time to complete the maintenance be W S ;

[0094] W S =W Z +J1G 1 +J2G 2 +J3G 3 +……+J L G P

[0095] Through the above formula, the time to complete the maintenance can be calculated.

[0096] In one embodiment of the present invention: The full cost calculation module can receive the information processed by the time prediction module, thereby obtaining the maintenance plan of the current intelligent parking lot system, obtaining the maintenance capital cost of the current intelligent parking lot system, synchronously extracting the calculated pure maintenance time and the preparation time required during maintenance, thereby calculating the time cost of the maintenance of the current intelligent parking lot system, and publicizing the calculated maintenance capital cost and maintenance time cost.

[0097] Example 1. Please refer to the appendix Figure 1 - appendix Figure 2 . When matching the segmented fault maintenance information, two pieces of fault maintenance information can also be placed in the same frequency valley value, but the two pieces of fault maintenance time need to be less than the time of the frequency valley value. And when the time used for multiple segmented fault maintenance exceeds one-fifth of the frequency valley value time, the time of this frequency valley value can also be increased artificially.

[0098] Example 2. Please refer to the appendix Figure 1 - appendix Figure 2 . When editing the maintenance order in the stage maintenance module, the type and severity of the fault information can be analyzed, and a priority can be set for the more serious faults, so as to be able to set the maintenance sorting conditions for the fault information, enabling the system to process the more serious faults in a timely manner and reducing the impact of the faults on the current intelligent parking lot system.

[0099] Example 3. Please refer to the appendix Figure 1 - appendix Figure 2 , and when predicting the maintenance time, regression algorithms such as linear regression, random forest regression, or neural network regression can be used for calculation methods, so that the predicted maintenance time is more accurate. When calculating the cost, a demand column can also be established. At this time, the user can edit the type of cost calculation according to their own needs to meet the specific needs of the user. At the same time, the time required for the maintenance personnel to reach the intelligent parking lot with a fault can also be considered, so that the maintenance personnel can be informed in advance during maintenance.

[0100] Specifically, the fault determination module can determine the fault of the abnormal information and understand the influence range of the abnormal information, enabling the user to better edit the maintenance order. The stage maintenance module can enable the current intelligent parking lot system to continue running during maintenance, reducing the risk of the entire intelligent parking lot system being paralyzed due to local faults, improving the stability and reliability of the system, and enabling more targeted processing and analysis of faults. The time distribution module can accurately determine the maintenance time distribution of different segmented fault information, making the maintenance plan more reasonable and accurate, thereby reducing the impact on the users of the current intelligent parking lot system during maintenance.

[0101] Specifically, the full record monitoring module can timely replace and compare the startup running time to ensure that the data in the running time table is always up-to-date and accurate, providing a reliable basis for evaluating equipment performance and optimizing operation. The trend analysis module can analyze the reasons for the anomalies in the current intelligent parking lot system during operation, enabling the user to take preventive measures in advance, reducing the possibility of faults occurring, and displaying solutions for different faults to improve the efficiency of resolving abnormal information.

[0102] Specifically, the time prediction module can avoid the peak usage period of the intelligent parking lot system for maintenance time, thereby minimizing the interference of maintenance on the normal parking and use services of the parking lot users. The full cost calculation module can accurately calculate the capital and time costs of maintenance, providing accurate data support for the maintenance prediction of the current intelligent parking lot system, so that the maintenance funds can be planned and reserved in advance to avoid maintenance delays due to insufficient funds.

[0103] Working principle:

[0104] Step 1: Use data exchange to obtain previous intelligent parking system data and data changes when different intelligent parking systems fail, extract fault characteristics of fault data, analyze common points in fault characteristics, obtain data of current intelligent parking system in real time, monitor equipment used inside the intelligent parking system, analyze the startup time of current equipment, establish an operation schedule, and then record previous equipment startup time information in the operation schedule, analyze data changes of intelligent parking system, determine the possibility of failure of current intelligent parking system, and establish fault level according to the impact of fault information on current intelligent parking system, obtain fault data of current intelligent parking system by data exchange, separate and segment fault data, and automatically edit the operation process of functions in intelligent parking system, so that the function process of failure is placed in the back end of the overall process;

[0105] Step 2. Establish a running library in the external unit, sort and process the functional data in the running library according to the functional running process edited by the stage maintenance module, and then insert the edited functional data in the running library into the diversion line in the form of data exchange. When the intelligent parking system encounters a diversion line, it will automatically run the functional data exchanged to the diversion line and analyze the frequency valley value of the gate switch. At this time, analyze the time required for repair of different segment fault data of the current intelligent parking system, and then match the repair time with the frequency valley value to obtain the best time for repair of different segment fault data, obtain the segment maintenance layout, calculate the time to complete the maintenance of the current intelligent parking system, and publicize the calculated maintenance capital cost and maintenance time cost. Finally, the calculated maintenance capital cost and maintenance time cost are publicized. At this point, the entire workflow ends.

[0106] At the same time, the present application uses specific words to describe the embodiments of the present application. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of the present application. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of the present application can be appropriately combined.

[0107] Some aspects of the present application can be executed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above-mentioned hardware or software can all be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor can be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, aspects of the present application may be embodied as a computer product located in one or more computer-readable media, which includes computer-readable program code. For example, the computer-readable media may include, but is not limited to, magnetic storage devices (such as hard disks, floppy disks, magnetic tapes...), optical disks (such as compact disks CD, digital versatile disks DVD...), smart cards, and flash memory devices (such as cards, sticks, key drives...).

[0108] The computer-readable media may contain a propagated data signal having computer program code embodied therein, for example, on a baseband or as part of a carrier wave. The propagated signal may take many forms, including electromagnetic, optical, or the like, or suitable combinations thereof. The computer-readable media can be any computer-readable media other than a computer-readable storage medium, which can communicate, propagate, or transport a program for use by being connected to an instruction execution system, apparatus, or device. The program code located on the computer-readable media can be propagated through any appropriate medium, including radio, cable, fiber optic cable, radio frequency signal, or similar media, or any combination of the above media.

[0109] Similarly, it should be noted that, in order to simplify the description disclosed in this application and thus help the understanding of one or more embodiments of the invention, in the foregoing description of the embodiments of this application, sometimes multiple features are grouped into one embodiment, drawing or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this application are more than those mentioned in the claims. In fact, the features of the embodiments are fewer than all the features of the single embodiment disclosed above. In some embodiments, numbers are used to describe components and the quantity of attributes. It should be understood that such numbers used for the description of embodiments are modified by the modifiers "about", "approximate" or "substantially" in some examples. Unless otherwise stated, "about", "approximate" or "substantially" indicate that the numbers allow a variation of ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, and such approximate values may vary according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should consider the specified significant digits and adopt the method of retaining the general number of digits. Although the numerical ranges and parameters used in some embodiments of this application to confirm the breadth of their scope are approximate values, in specific embodiments, such numerical settings are as precise as possible within the feasible range.

[0110] Although the present invention is disclosed above in preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, all modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention shall fall within the protection scope defined by the claims of the present invention.

Claims

1. An operation and maintenance service system for an intelligent parking lot, characterized in that: It includes a data collection module, a full-record monitoring module, a trend analysis module, a fault determination module, a stage maintenance module, a time distribution module, a time prediction module, and a full-cost calculation module; The data collection module establishes a collection database and obtains data changes of previous intelligent parking lot systems and different intelligent parking lot systems when faults occur through data exchange; The full-record monitoring module obtains the data of the current intelligent parking lot system in real time and monitors the equipment used inside the intelligent parking lot system at the same time; The trend analysis module analyzes the data changes of the intelligent parking lot system and judges the possibility of a fault occurring in the current intelligent parking lot system; The fault determination module determines the fault levels of the predicted fault and the fault occurring in the current intelligent parking lot system, analyzes the impact of the fault level on the equipment in the current intelligent parking lot system, and then obtains the state of the current intelligent parking lot system; The stage maintenance module obtains the fault data of the current intelligent parking lot system through data exchange, separates and segments the fault data, and does not affect the operation of the current intelligent parking lot system during the separation and segmentation of the fault, obtaining a segmented fault data table, enabling the current intelligent parking lot system to be repaired in segments; The stage maintenance module can receive the information processed by the fault determination module. When the stage maintenance module separates and segments the fault data, the stage maintenance module will automatically edit the operation process of the functions in the intelligent parking lot system, place the fault function process at the back end of the overall process, and establish a shunt line to separate the fault function from the functions that can operate normally; An external unit is established, and the function data of the intelligent parking lot system is recorded inside the external unit, and the models of different intelligent parking lot systems are edited on the function data; After the operation process of the fault function in the current intelligent parking lot system is edited, the model data of the fault function will be recorded. At this time, the stage maintenance module will access the external unit, retrieve the function data of the same model as the fault function inside the external unit, and then establish an operation library inside the external unit and transfer the retrieved function data to the operation library; Then the external unit accesses the function operation process edited by the stage maintenance module, sorts the function data in the operation library according to the function operation process edited by the stage maintenance module, and then inserts the edited function data in the operation library into the shunt line in the form of data exchange; When the fault function is being repaired, the operation of the intelligent parking lot system will automatically switch to the function data on the shunt line when encountering the shunt line; Then the fault data is further separated to obtain segmented fault data, and the segmented fault data is recorded in the segmented fault data table; The time distribution module obtains the gate opening and closing times and frequencies of the current intelligent parking lot system through data exchange, analyzes the frequency valley value of the gate opening and closing, analyzes the time required for repairing different segmented fault data of the current intelligent parking lot system at this time, and then matches the repair time with the frequency valley value to obtain the best time for repairing different segmented fault data, obtaining a segmented maintenance layout; The time prediction module analyzes the different segmented maintenance information of the current intelligent parking system, matches the different segmented maintenance information to the appropriate frequency valley value, and calculates the time to complete the maintenance of the current intelligent parking system; The full cost calculation module analyzes the current intelligent parking system failure maintenance factors and calculates the full cost of the current intelligent parking system maintenance.

2. An operation and maintenance service system for an intelligent parking lot according to claim 1, wherein: When the acquisition module obtains the data change information when different intelligent parking lot systems fail, it will extract the fault characteristics of the fault data, analyze the common points in the fault characteristics, and establish a fault information support library, recording all the fault information of different intelligent parking lot systems in the fault information support library. When the full-record monitoring module monitors the used equipment, it will analyze the startup and operation time of the current equipment, establish an operation time table at the same time, and then record the previous equipment startup and operation time information in the operation time table. Let the reference startup and operation time of the equipment be Z Q Let the current equipment startup and operation time be D Q Let the difference in the startup and operation time of the equipment be Q Y ; When Z Q -Q Y ≤D Q ≤Z Q +Q Y When this condition is met, the time information of the current device's startup and operation will be replaced with the reference startup and operation time, and the replaced reference startup and operation time will be recorded in the operation time table; When D Q <Z Q -Q Y occurs, the time information of the current device starting to run will be converted into exception information, and then the exception information will be transmitted to the trend analysis module; When D Q > Z Q + Q Y When this occurs, the time information of the currently running device is converted into an exception message, which is then transmitted to the trend analysis module.

3. An operation and maintenance service system for an intelligent parking lot according to claim 2, characterized in that: When receiving the abnormal information transmitted by the full record monitoring module, the trend analysis module will analyze the abnormal cause of the abnormal information and extract the abnormal features of the abnormal cause, and then use the abnormal features to match the fault features to extract the fault information, and predict and process the current intelligent parking system with abnormal features according to the fault information, analyze the probability of different subsequent faults in the current intelligent parking system, retrieve the processing solutions for different faults, and display and process the processing solution information for different faults.

4. An operation and maintenance service system for an intelligent parking lot according to claim 2, characterized in that: The fault determination module can receive information processed by the trend analysis module. When the fault determination module receives abnormal information, it will perform fault determination on the abnormal information according to the information in the fault information support library, and formally classify the abnormal information as fault information. At the same time, it will establish a fault level according to the impact of the fault information on the current intelligent parking system. The specific levels are divided as follows: The first level fault level refers to fault information that will not affect the current intelligent parking system; Level 2 fault level refers to fault information that will affect the current intelligent parking system, but the fault will not affect the operation of the current intelligent parking system during maintenance; Level 3 fault level refers to fault information that will affect the current intelligent parking system, but requires manual processing so that the fault will not affect the operation of the current intelligent parking system during maintenance; The fourth level fault level refers to fault information that will affect the current intelligent parking system. At the same time, the operation of the current intelligent parking system must be stopped when repairing the fault.

5. An operation and maintenance service system for an intelligent parking lot according to claim 1, characterized in that: The time distribution module can receive the information processed by the phase maintenance module, and set the different frequency valleys of the gate switch as P G = P G1 , P G2 , P G3 , ……, P GK , where K is an unknown, and set the maintenance time of different segmented fault data as W X = W1, W2, W3, ……, W Y , where Y is the number of fault segments, set a primary matching scheme as P F1 , and set a secondary extraction scheme as P F2 ; P F1 = P G ∩ W X P F1 = (P G1 , P G2 , P G3 , ……, P GX ) ∩ (W1, W2, W3, ……, W Y ) P F2 =(W1, W2, W3, ……, W Y ) ∈ (P G1 , P G2 , P G3 , ……, P GX ) Then extract different frequency valley values beyond the maintenance time of different segmented fault data, so as to obtain the secondary extraction scheme P F2 For the information of, let the summary matching scheme be Z P ; Z P = P F1 ∪P F2 According to the above formula, the time distribution of maintenance for different segmented fault information can be obtained; Let the pure repair time be W Z ; The pure maintenance time can be calculated according to the above formula.

6. The operation and maintenance service system for an intelligent parking lot according to claim 5, wherein: The time prediction module can receive the information processed by the time distribution module. When calculating the time to complete the repair of the current intelligent parking lot system, it is necessary to avoid the usage peak of the intelligent parking lot system to reduce the impact during the repair. Let the different frequency valley value intervals matched for the repair time be G J = G 1 、G 2 、G 3 、……、G P , where P is the number of frequency valley values of the interval. Let the interval time of the different frequency valley values matched be J S = J1, J2, J3, ……, J L , where L is the number of times of time. Let the time to complete the repair be W S ; W S = W Z + J1G 1 + J2G 2 + J3G 3 + …… + J L G P The time to complete the maintenance can be calculated using the above formula.

7. An operation and maintenance service system for an intelligent parking lot according to claim 6, characterized in that: The full cost calculation module can receive information processed by the time prediction module, thereby obtaining the maintenance plan of the current intelligent parking system, deriving the maintenance capital cost of the current intelligent parking system, and simultaneously extracting the calculated pure maintenance time and the preparation time required for maintenance, thereby calculating the time cost of maintenance of the current intelligent parking system, and publicly announcing the calculated maintenance capital cost and maintenance time cost.

8. An intelligent parking lot operation and maintenance service method applicable to the intelligent parking lot operation and maintenance service system according to any one of claims 1-7, characterized in that, The following steps are involved: Step 1: Use data exchange to obtain previous intelligent parking system data and data changes when different intelligent parking systems fail, extract fault characteristics of fault data, analyze common points in fault characteristics, obtain data of current intelligent parking system in real time, monitor the equipment used inside the intelligent parking system, analyze the start-up time of current equipment, establish an operation schedule, and then record the start-up time information of previous equipment in the operation schedule; Step 2: Analyze the data changes of the intelligent parking lot system, judge the possibility of a fault occurring in the current intelligent parking lot system, and at the same time establish a fault level based on the impact of the fault information on the current intelligent parking lot system. Obtain the fault data of the current intelligent parking lot system through data exchange, and separate and segment the fault data. At the same time, automatically edit the operation process of the functions in the intelligent parking lot system, and place the faulty function process at the back end of the overall process; Step 3: Establish a runtime library in the external unit, sort the function data in the runtime library according to the function operation process edited by the stage maintenance module, and then insert the edited function data in the runtime library into the shunt line in the form of data exchange. When the intelligent parking lot system runs and encounters the shunt line, it will automatically run and exchange to the function data on the shunt line; Step 4: Analyze the frequency valley value of the gate switch. At this time, analyze the time required for the maintenance of different segmented fault data of the current intelligent parking lot system, and then match the maintenance time with the frequency valley value to obtain the best time for the maintenance of different segmented fault data, and obtain the segmented maintenance layout; Step 5: Calculate the time required for the current intelligent parking lot system to complete the maintenance, and publicize the calculated maintenance capital cost and maintenance time cost.

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