Operation and maintenance service system and method for intelligent parking lot

Abstract

The invention discloses an operation and maintenance service system and method for an intelligent parking lot, and relates to the technical field of parking lots, and the system comprises an acquisition 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 intelligent parking lot system has the advantages that fault judgment can be carried out on abnormal information through the fault judgment module, a user can better edit the maintenance sequence, the current intelligent parking lot system can continue to operate during maintenance through the stage maintenance module, the risk that the whole intelligent parking lot system breaks down due to local faults is reduced, and the maintenance efficiency is improved. Meanwhile, faults can be processed and analyzed in a more targeted mode, maintenance time distribution of different sectional fault information can be accurately determined through the time distribution module, a maintenance plan is more reasonable and accurate, and therefore the influence of a current intelligent parking lot system on users during maintenance is reduced.

Description

Technical Field

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

[0002] The IC card intelligent parking fee management system is a general term for the modern parking lot vehicle fee collection and equipment automation management. The system organically combines machinery, electronic computers, automatic control equipment and intelligent IC card technology. Through computer management, it can realize vehicle image comparison, automatic fee collection, automatic data storage and other functions. In addition, the parking management system can realize offline operation, and can still ensure the normal entry and exit of vehicles in the event of computer failure. It is an ideal facility for modern residential property management. The intelligent parking fee collection system is a network system built by computers, network equipment, and lane management equipment to manage the entry and exit of parking vehicles, traffic flow guidance in the parking lot, and parking fee collection. It is an essential tool for professional parking lot management companies.

[0003] When a general intelligent parking lot operation and maintenance service system is repairing the intelligent parking lot system, it is inconvenient to separate the maintenance information into segments, which causes the maintenance time to easily occur during the peak usage period of the intelligent parking lot system, affecting the normal use of users and reducing the user experience. For this reason, we propose an intelligent parking lot operation and maintenance service system and method. Summary of the invention

[0004] The object 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 technology, the present invention provides the following technical solutions: an operation and maintenance service system for an intelligent parking lot, comprising 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;

[0006] The acquisition module establishes an acquisition database and uses data exchange to obtain previous intelligent parking system data and data changes when different intelligent parking systems fail;

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

[0008] Trend analysis module, which analyzes the data changes of the intelligent parking system and determines the possibility of failure of the current intelligent parking system;

[0009] The fault determination module determines the fault level of the predicted fault and the current intelligent parking system when the fault occurs, and analyzes the impact of the fault level on the equipment in the current intelligent parking system, thereby obtaining the status of the current intelligent parking system;

[0010] The stage maintenance module uses data exchange to obtain the fault data of the current intelligent parking system, and separates and segments the fault data. When the fault is separated and segmented, it will not affect the operation of the current intelligent parking system, and obtains a segmented fault data table, so that the current intelligent parking system can be repaired in sections;

[0011] The time distribution module uses data exchange to obtain the time and frequency of gate opening and closing of the current intelligent parking system, analyzes the frequency valley of gate opening and closing, and then analyzes the time required for repairing the fault data of different sections of the current intelligent parking system. Then, the repair time is matched with the frequency valley, and the best time for repairing the fault data of different sections is obtained, and the segmented maintenance layout is obtained.

[0012] 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;

[0013] 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.

[0014] As a further solution of the present invention: when the acquisition module obtains the data change information when different intelligent parking 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, and all the information on the failures of different intelligent parking systems will be recorded in the fault information support library. When the full record monitoring module monitors the equipment in use, it will analyze the start-up and operation time of the current equipment, and establish an operation schedule, and then record the previous equipment start-up and operation time information in the operation schedule, assuming that the control start-up and operation time of the equipment is Z Q , let the time when the current device starts running be D Q , let the startup and running time difference of the equipment be QY;

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

[0016] When D Q <Z Q-QY, the time information of the current equipment startup operation 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 equipment startup operation 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 receiving the abnormal information transmitted by the full record monitoring module, the trend analysis module will analyze the abnormal cause causing 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, and retrieve the processing solutions for different faults at the same time, and display and process the processing solution information for different faults.

[0019] As a further solution of the present invention: 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, a fault level is established according to the impact of the fault information on the current intelligent parking system. The specific levels are divided as follows:

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

[0021] 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;

[0022] 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;

[0023] 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.

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

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

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

[0027] 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 diversion line in the form of data exchange;

[0028] When the fault function is being repaired, the intelligent parking system will automatically switch to the function data on the diversion line when it encounters the diversion line;

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

[0030] As a further solution of the present invention: the time distribution module can receive information processed by the stage maintenance module, and the different frequency valley values ​​of the gate switch are set to P G =P G1 , P G2 , P G3 ,……,P GK , where K is an unknown number, and the maintenance time of different segmented fault data is W X =W1, W2, W3, ..., W Y , where Y is the number of fault segments, and a matching solution is assumed to be P F1 , let the secondary extraction scheme be 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, different frequency valley values ​​exceeding the repair time of different segmented fault data are extracted, thereby obtaining the secondary extraction scheme P F2 information, let the summary matching solution be Z P ;

[0035] Z P =P F1 ∪P F2

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

[0037] Assume that the pure maintenance time is W Z ;

[0038]

[0039] The pure maintenance time can be calculated according to the above formula.

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

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

[0042] The time to complete the maintenance can be calculated using the above formula.

[0043] As a further solution of the present invention: the full cost calculation module can receive information processed by the time prediction module, so as to obtain the maintenance plan of the current intelligent parking system, derive the maintenance capital cost of the current intelligent parking system, and simultaneously extract the calculated pure maintenance time and the preparation time required for maintenance, so as to calculate the time cost of maintenance of the current intelligent parking system, and publicly display 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, comprising the following steps:

[0045] 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;

[0046] Step 2: Analyze the data changes of the intelligent parking system, determine the possibility of failure of the current intelligent parking system, and establish the fault level according to the impact of the fault information on the current intelligent parking system. Use data exchange to obtain the fault data of the current intelligent parking system, separate and segment the fault data, and automatically edit the operation process of the functions in the intelligent parking system, so that the faulty functional process is placed at the back end of the overall process;

[0047] Step 3: Establish a running library in the external unit, sort and process the function data in the running library according to the function running process edited by the stage maintenance module, and then insert the edited function data in the running library into the diversion line in the form of data exchange. When the intelligent parking system encounters the diversion line, it will automatically run and exchange the function data on the diversion 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 sections of the current intelligent parking system, and then match the repair time with the frequency valley value to obtain the best time for repairing the fault data of different sections and obtain the section maintenance layout;

[0049] Step 5: Calculate the time required to complete maintenance of the current intelligent parking system, and make public the calculated maintenance capital cost and maintenance time cost.

[0050] By adopting the above technical solution, compared with the prior art, the beneficial effects of the present invention are:

[0051] 1. The present invention can perform fault determination on abnormal information through the fault determination module, understand the impact range of abnormal information, and enable users to better edit the maintenance sequence. Through the stage maintenance module, the current intelligent parking system can continue to operate during maintenance, reducing the risk of paralysis of the entire intelligent parking system due to local faults, improving the stability and reliability of the system, and can handle and analyze faults more targeted. Through the time distribution module, the maintenance time distribution of different segmented fault information can be accurately determined, making the maintenance plan more reasonable and accurate, thereby reducing the impact of the current intelligent parking system on users during maintenance;

[0052] 2. The present invention can timely replace the reference startup operation time through the full record monitoring module to ensure that the data in the operation timetable is always kept up to date and most accurate, providing a reliable basis for evaluating equipment performance and optimizing operation. The trend analysis module can analyze the causes of abnormal operation of the current intelligent parking system, so that users can collect preventive measures in advance to reduce the possibility of failures, and display solutions to different failures to improve the efficiency of solving abnormal information;

[0053] 3. The present invention can avoid the peak usage period of the intelligent parking system during maintenance time through the time prediction module, thereby minimizing the interference of maintenance on the normal parking and use of services by parking lot users. The full cost calculation module can accurately calculate the financial and time costs of maintenance, providing accurate data support for the maintenance prediction of the current intelligent parking system, so that maintenance funds can be planned and reserved in advance to avoid maintenance delays due to insufficient funds. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A schematic diagram of a system flow in an embodiment of the present invention;

[0055] Figure 2 Schematic diagram of the method steps in an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of 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 see attached Figure 1 -Attached Figure 2, the present invention provides an intelligent parking lot operation and maintenance service system, including 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 acquisition module establishes an acquisition database and uses data exchange to obtain previous intelligent parking system data and data changes when different intelligent parking systems fail;

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

[0061] Trend analysis module, which analyzes the data changes of the intelligent parking system and determines the possibility of failure of the current intelligent parking system;

[0062] The fault determination module determines the fault level of the predicted fault and the current intelligent parking system when the fault occurs, and analyzes the impact of the fault level on the equipment in the current intelligent parking system, thereby obtaining the status of the current intelligent parking system;

[0063] The stage maintenance module uses data exchange to obtain the fault data of the current intelligent parking system, and separates and segments the fault data. When the fault is separated and segmented, it will not affect the operation of the current intelligent parking system, and obtains a segmented fault data table, so that the current intelligent parking system can be repaired in sections;

[0064] The time distribution module uses data exchange to obtain the time and frequency of gate opening and closing of the current intelligent parking system, analyzes the frequency valley of gate opening and closing, and then analyzes the time required for repairing the fault data of different sections of the current intelligent parking system. Then, the repair time is matched with the frequency valley, and the best time for repairing the fault data of different sections is obtained, and the segmented maintenance layout is obtained.

[0065] 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;

[0066] 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.

[0067] In one embodiment of the present invention, when the acquisition module obtains the data change information when different intelligent parking 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, and all the information on the failures of different intelligent parking systems will be recorded in the fault information support library. When the full-record monitoring module monitors the equipment in use, it will analyze the start-up and operation time of the current equipment, and establish an operation schedule, and then record the previous equipment start-up and operation time information in the operation schedule, assuming that the control start-up and operation time of the equipment is Z. Q , let the time when the current device starts running be D Q , let the startup time difference 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 control startup and operation time, and the replaced control startup and operation time will be recorded in the operation time table;

[0069] When D Q <Z Q -QY, the time information of the current equipment startup operation 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 time information of the current equipment startup operation 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 will analyze the abnormal cause that causes 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 faults occurring in the current intelligent parking system in the future, retrieve the processing solutions for different faults, and display and process the processing solution information for different faults.

[0072] In one embodiment of the present invention, 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, the fault level is established according to the impact of the fault information on the current intelligent parking system. The specific levels are divided as follows:

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

[0074] 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;

[0075] 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;

[0076] 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.

[0077] In one embodiment of the present invention: the stage maintenance module can receive information processed by the fault determination module. When the stage maintenance module separates and segments the fault data, the stage maintenance module automatically edits the operation process of the functions in the intelligent parking system, places the function process of the fault to the back end of the overall process, and establishes a diversion line to separate the faulty function from the function that can operate normally;

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

[0079] After the operation process of the fault function of the current intelligent parking system is edited, the model data of the fault function will be recorded. At this stage, the maintenance module will access the external unit, retrieve the function data of the same model as the fault function in the external unit, and then establish a running library in the external unit, and transfer the retrieved function data to the running 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 edited function data in the operation library into the diversion line in the form of data exchange;

[0081] When the fault function is being repaired, the intelligent parking system will automatically switch to the function data on the diversion line when it encounters the diversion line;

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

[0083] In one embodiment of the present invention, the time distribution module can receive information processed by the phase maintenance module, and set the different frequency valley values ​​of the gate switch to P.G =P G1 , P G2 , P G3 ,……,P GK , where K is an unknown number, and the maintenance time of different segmented fault data is W X =W1, W2, W3, ..., W Y , where Y is the number of fault segments, and a matching solution is assumed to be P F1 , let the secondary 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, different frequency valley values ​​exceeding the repair time of different segmented fault data are extracted, thereby obtaining the secondary extraction scheme P F2 information, let the summary matching solution be Z P ;

[0088] Z P =P F1 ∪P F2

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

[0090] Assume that the pure maintenance time is W Z ;

[0091]

[0092] The pure maintenance time can be calculated according to the above formula.

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

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

[0095] The time to complete the maintenance can be calculated using the above formula.

[0096] In one embodiment 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 system, derive the maintenance capital cost of the current intelligent parking system, and simultaneously extract the calculated pure maintenance time and the preparation time required for maintenance, so as to calculate the time cost of the maintenance of the current intelligent parking system, and publicly display the calculated maintenance capital cost and maintenance time cost.

[0097] Example 1, please refer to the attached Figure 1 -Attached Figure 2 When matching segmented fault repair information, two segments of fault repair information can be placed in the same frequency valley value, but the two segments of fault repair time need to be less than the frequency valley value time, and when the time used for multi-segment fault repair exceeds one-fifth of the frequency valley value time, the frequency valley value time can be artificially increased.

[0098] Example 2, please refer to the attached Figure 1 -Attached Figure 2 ,When editing the maintenance sequence in the stage maintenance module, the type and severity of the fault information can be analyzed, and priority can be set for more serious faults, so that maintenance sorting conditions can be set for the fault information, so that the system can handle more serious faults in a timely manner, reducing the impact of the faults on the current intelligent parking system.

[0099] Example 3, please refer to the attached Figure 1 -Attached Figure 2 When predicting the maintenance time, regression algorithms such as linear regression, random forest regression or neural network regression can be used to make the predicted maintenance time 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 user's specific needs. At the same time, the time required for maintenance personnel to reach the faulty intelligent parking lot can also be considered, so that the maintenance personnel can be informed in advance when performing maintenance.

[0100] Specifically, the fault judgment module can be used to judge the abnormal information and understand the impact range of the abnormal information, so that users can better edit the maintenance sequence. The stage maintenance module can enable the current intelligent parking system to continue to operate during maintenance, reducing the risk of paralysis of the entire intelligent parking system due to local faults, improving the stability and reliability of the system, and being able to handle and analyze faults in a more targeted manner. 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 of the current intelligent parking system on users during maintenance.

[0101] Specifically, the full record monitoring module can timely replace the control startup operation time to ensure that the data in the operation timetable is always kept 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 abnormal operation of the current intelligent parking system, so that users can collect preventive measures in advance, reduce the possibility of failure, and display solutions to different failures to improve the efficiency of resolving abnormal information.

[0102] Specifically, the time prediction module can make the maintenance time avoid the usage peak of the intelligent parking system, thereby minimizing the interference of maintenance on the normal parking and use of services by parking lot users. The full cost calculation module can accurately calculate the financial and time costs of maintenance, providing accurate data support for the maintenance prediction of the current intelligent parking system, so that 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 may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks", "modules", "engines", "units", "components" or "systems". The processor may 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, various aspects of the present application may be expressed as computer products located in one or more computer-readable media, which include computer-readable program codes. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes ...), optical disks (e.g., compact disks CDs, digital versatile disks DVDs ...), smart cards, and flash memory devices (e.g., cards, sticks, key drives ...).

[0108] A computer-readable medium may include a propagated data signal containing computer program code, such as in baseband or as part of a carrier wave. The propagated signal may have a variety of manifestations, including electromagnetic, optical, etc., or a suitable combination. A computer-readable medium may be any computer-readable medium other than a computer-readable storage medium, which may be connected to an instruction execution system, device or apparatus to communicate, propagate or transmit a program for use. The program code on the computer-readable medium may be propagated through any suitable medium, including radio, cable, fiber optic cable, radio frequency signal, or similar medium, or a combination of any of the above mediums.

[0109] Similarly, it should be noted that in order to simplify the description disclosed in this application, so as to help understand one or more embodiments of the invention, in the above description of the embodiments of the present application, sometimes multiple features are merged into one embodiment, drawings or descriptions thereof. However, this disclosure method does not mean that the features required by the object of the present application are more than the features mentioned in the claims. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above. In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "approximately", "approximately" or "substantially" in some examples. Unless otherwise specified, "approximately", "approximately" 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, which may change according to the characteristics required by individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of their range in some embodiments of the present application are approximate values, in specific embodiments, such numerical settings are as accurate as possible within the feasible range.

[0110] Although the present invention is disclosed as above in terms of preferred embodiments, it is not intended to limit the present invention, and any person skilled in the art may make possible changes and modifications without departing from the spirit and scope of the present invention. Therefore, any modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention without departing from the content of the technical solution of the present invention shall fall within the scope of protection defined by the claims of the present invention.

Claims

1. An intelligent parking lot operation and maintenance service system, Features: It includes acquisition module, full record monitoring module, trend analysis module, fault determination module, stage maintenance module, time distribution module, time prediction module and full cost calculation module; The acquisition module establishes an acquisition database and uses data exchange to obtain previous intelligent parking system data and data changes when different intelligent parking systems fail; The full-recording monitoring module obtains the data of the current intelligent parking system in real time and monitors the equipment used inside the intelligent parking system; Trend analysis module, which analyzes the data changes of the intelligent parking system and determines the possibility of failure of the current intelligent parking system; The fault determination module determines the fault level of the predicted fault and the current intelligent parking system when the fault occurs, and analyzes the impact of the fault level on the equipment in the current intelligent parking system, thereby obtaining the status of the current intelligent parking system; The stage maintenance module uses data exchange to obtain the fault data of the current intelligent parking system, and separates and segments the fault data. When the fault is separated and segmented, it will not affect the operation of the current intelligent parking system, and obtains a segmented fault data table, so that the current intelligent parking system can be repaired in sections; The time distribution module uses data exchange to obtain the time and frequency of gate opening and closing of the current intelligent parking system, analyzes the frequency valley of gate opening and closing, and then analyzes the time required for repairing the fault data of different sections of the current intelligent parking system. Then, the repair time is matched with the frequency valley, and the best time for repairing the fault data of different sections is obtained, and the segmented maintenance layout is obtained. 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 intelligent parking lot operation and maintenance service system according to claim 1, Features: When acquiring data change information when different intelligent parking systems fail, the acquisition module will extract the failure characteristics of the failure data, analyze the common points in the failure characteristics, and establish a failure information support library, and record all the failure information of different intelligent parking systems in the failure information support library. When monitoring the equipment in use, the full record monitoring module will analyze the start-up and operation time of the current equipment, and establish an operation schedule, and then record the previous equipment start-up and operation time information in the operation schedule, assuming that the control start-up and operation time of the equipment is Z Q , let the time when the current device starts running be D Q , let the startup time difference of the equipment be Q Y ; When Z Q -Q Y ≤D Q ≤Z Q +Q Y When the startup time of the current device is replaced by the reference startup time, the replaced reference startup time is recorded in the operation time table; When D Q <Z Q -Q Y When the device is started, the time information of the current device will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module; When D Q >Z Q +Q Y When the device starts running, the time information will be converted into abnormal information, and then the abnormal information will be transmitted to the trend analysis module.

3. An intelligent parking lot operation and maintenance service system according to claim 2, Features: 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. According to claim 2, an intelligent parking lot operation and maintenance service system, Features: 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 intelligent parking lot operation and maintenance service system according to claim 4, Features: The stage maintenance module can receive 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 system, so that the function process of the fault is placed at the back end of the overall process, and establish a diversion line to separate the faulty function from the function that can run normally; An external unit is established, the functional data of the intelligent parking system is recorded inside the external unit, and the models of different intelligent parking systems are edited on the functional data; After the operation process of the fault function of the current intelligent parking system is edited, the model data of the fault function will be recorded. At this stage, the maintenance module will access the external unit, retrieve the function data of the same model as the fault function in the external unit, and then establish a running library in the external unit, and transfer the retrieved function data to the running 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 diversion line in the form of data exchange; When the fault function is being repaired, the intelligent parking system will automatically switch to the function data on the diversion line when it encounters the diversion line; Then the fault data is segmented to obtain segmented fault data, and the segmented fault data is recorded in a segmented fault data table.

6. An intelligent parking lot operation and maintenance service system according to claim 5, Features: The time distribution module can receive information processed by the stage maintenance module, assuming that the different frequency valley values ​​of the gate switch are P G =P G1 , P G2 , P G3 ,……,P GK , where K is an unknown number, and the maintenance time of different segmented fault data is W X =W 1 , W 2 , W 3 ,……,W Y , where Y is the number of fault segments, and a matching solution is assumed to be P F1 , let the secondary extraction scheme be P F2 ; P F1 =P G ∩W X P F1 =(P G1 、P G2 、P G3 、……、P GX )n(W 1 、W 2 、W 3 、……、W Y ) P F2 =(W 1 、W 2 、W 3 、……、W Y )∈(P G1 、P G2 、P G3 、……、P GX ) Then, different frequency valley values ​​exceeding the repair time of different segmented fault data are extracted, thereby obtaining the secondary extraction scheme P F2 information, let the summary matching solution 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; Assume that the pure maintenance time is W Z ; The pure maintenance time can be calculated according to the above formula.

7. An intelligent parking lot operation and maintenance service system according to claim 6, Features: The time prediction module can receive information processed by the time distribution module. When calculating the time to complete the maintenance of the current intelligent parking system, it is necessary to avoid the usage peak of the intelligent parking system to reduce the impact of the intelligent parking system during maintenance. The interval between different frequency valleys of the maintenance time matching is G J =G 1 , G 2 , G 3 ,……,G P , where P is the number of frequency valleys in the interval, and the interval time between different frequency valleys is J S =J1,J 2 , J 3 ,……,J L , where L is the number of times, and the time to complete the maintenance is W S ; W S =W Z +J 1 G 1 +J 2 G 2 +J 3 G 3 +……+J L G P The time to complete the maintenance can be calculated using the above formula.

8. An intelligent parking lot operation and maintenance service system according to claim 7, Features: 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.

9. 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 to 8, It is 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 system, determine the possibility of failure of the current intelligent parking system, and establish the fault level according to the impact of the fault information on the current intelligent parking system. Use data exchange to obtain the fault data of the current intelligent parking system, separate and segment the fault data, and automatically edit the operation process of the functions in the intelligent parking system, so that the faulty functional process is placed at the back end of the overall process; Step 3: Establish a running library in the external unit, sort and process the function data in the running library according to the function running process edited by the stage maintenance module, and then insert the edited function data in the running library into the diversion line in the form of data exchange. When the intelligent parking system encounters the diversion line, it will automatically run and exchange the function data on the diversion line. 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 sections of the current intelligent parking system, and then match the repair time with the frequency valley value to obtain the best time for repairing the fault data of different sections and obtain the section maintenance layout; Step 5: Calculate the time required to complete maintenance of the current intelligent parking system, and make public the calculated maintenance capital cost and maintenance time cost.

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