CN115366958B - Self-diagnosis method, system and data management system - Google Patents
Self-diagnosis method, system and data management system Download PDFInfo
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- CN115366958B CN115366958B CN202211026176.5A CN202211026176A CN115366958B CN 115366958 B CN115366958 B CN 115366958B CN 202211026176 A CN202211026176 A CN 202211026176A CN 115366958 B CN115366958 B CN 115366958B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
- B61L27/53—Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Abstract
The invention belongs to the technical field of rail transit data management, and particularly relates to a self-diagnosis method, a self-diagnosis system and a self-diagnosis data management system, wherein the self-diagnosis method, the self-diagnosis system and the self-diagnosis data management system are used for judging whether a reading device can be normally connected with a management platform or not, judging whether the management platform can receive feedback information of a corresponding reading device or not, and if the self-diagnosis method, the self-diagnosis system and the self-diagnosis data management system cannot receive the feedback information of the reading device, starting a restarting mechanism until the self-diagnosis system can receive the feedback information of the reading device, and classifying the reading device according to received basic data, running state and network strength of the reading device by the management platform; judging whether the reading equipment reads the tag information or not, if so, the reading equipment sends the tag information to a management platform, and the management platform stores the tag information into a storage space allocated to the corresponding reading equipment and displays vehicle information corresponding to the tag information. The invention distinguishes the fault problems which can occur in the connection process, the network transmission process and the data reading process of the reading equipment of the radio frequency technology, and correspondingly provides specific solving measures.
Description
Technical Field
The invention belongs to the technical field of rail transit data management, and particularly relates to a self-diagnosis method, a self-diagnosis system and a self-diagnosis data management system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The electronic tag is used for storing information, the information is read out by a reading device, centralized management is performed by a management platform, the production and management modes of manufacturing enterprises are changed by the application of the data management modes (such as radio frequency identification (radio frequency identification) (Radio Frequency Identification, RFID) and near field communication (Near Field Communication, NFC for short)) so that the management level of the production process is improved, the production data of each link can be obtained in time, and the management and control of the production process are optimized. Production management personnel can read product information at any time through a management platform; other related personnel can timely master the production condition and adjust the production arrangement according to the situation, and control the flow direction of the materials at any time.
Therefore, the method is widely applied to various industries, and the production data of each construction link in the industry is managed and monitored in real time. The technology is also applied in the rail transit industry, a management system formed by a management platform and a plurality of card readers is constructed, information is read by the card readers and uploaded and fed back to the management platform, and the management platform is used for carrying out centralized management on rail transit data, so that the working efficiency is improved to a certain extent.
However, the management system can realize real-time management of the rail transit data, improve the accuracy of the data, meet the requirements of online production/scheduling, and is based on normal technical application. If a series of problems such as system failure, human failure, connection failure and the like occur in the communication technology, the problem of managing and controlling the related data of the rail transit can be caused to be extremely large.
Disclosure of Invention
The invention provides a self-diagnosis method aiming at the possible fault problems of the data management system based on the radio frequency technology when the data management system is applied to the rail transit industry, corresponding data analysis processing modes are set for different card reading modes, a management platform receives information such as the running state and network strength of equipment through a card reader and automatically monitors abnormal data appearing in the information, and the management platform collects various fault types to form a corresponding fault dictionary, so that the instruction work of fault clearing for staff is realized.
According to some embodiments, the present invention employs the following technical solutions:
in a first aspect, a self-diagnostic method is provided, comprising the steps of:
judging whether the reading equipment can be normally connected with the management platform, if so, the management platform periodically patrols the reading equipment, sends request information to the reading equipment, and if not, sends prompt information;
judging whether the management platform can receive feedback information of corresponding reading equipment, if not, starting a restarting mechanism until the feedback information of the reading equipment can be received, and classifying the reading equipment according to the received basic data, running state and network strength of the reading equipment by the management platform;
judging whether the reading equipment reads the tag information or not, if so, the reading equipment sends the tag information to a management platform, and the management platform stores the tag information into a storage space allocated to the corresponding reading equipment and displays vehicle information corresponding to the tag information.
As an alternative implementation manner, the content of the prompt information includes prompting the manager to detect the power supply or/and the network of the corresponding reading device and reconnect.
As an alternative implementation manner, a restarting mechanism is started, the management platform and the reading device are reconnected, and if the number of times of reconnection task execution reaches the maximum value of the set number of times, the management platform identifies that the reading device has abnormality and records the abnormality.
By restarting the system, insubstantial anomalies of the network, software and the like of the reading equipment can be solved, timely reconnection is ensured, and labor cost is saved.
As a further limitation, after the abnormality occurs, specific content of the abnormality and position information of the occurrence of the abnormality are recorded, an abnormality list is written, and inspection, adjustment and reconnection are performed according to the content of the abnormality list.
By recording the anomalies into the table, the system is convenient for a manager to check, is convenient for a worker to adjust work, and is helpful for supervising the progress management of each vehicle.
As a further limitation, when the anomaly is an offline anomaly of the reading device, reconnecting the reading device is performed at a timing to maintain a stable connection between the management platform and the reading device.
Alternatively, the specific process of classifying the reading device includes determining whether the information is read continuously by the reading device, and classifying the reading device into a continuous reading type or a discontinuous reading type.
As an alternative embodiment, when judging whether the tag information is read by the reading device, firstly judging whether the reading mode of the reading device is continuous reading, confirming the highest threshold value corresponding to the vehicle residence time according to the reading mode, and entering into abnormality detection.
As a further limitation, if the continuous reading mode is adopted, whether the vehicle stays in the same station in the highest threshold exceeds the highest threshold is checked by utilizing the continuous reading mode, if not, the tag information is fed back, if yes, whether the tag information can be read normally by the reading device is judged, if yes, the tag information is fed back, otherwise, the vehicle is judged to flow out of the station, whether the tag information of the vehicle can be detected by the reading device arranged in the next station is determined, and if not, the abnormal prompt is carried out on the vehicle.
In continuous reading, in order to ensure the reading effect, the reading device can be restarted once within a set time to ensure stability and correctness.
And whether the vehicle flows out of the station according to the flow and enters the next flow can be judged, and if not, the warning is timely carried out.
As a further limitation, if the method is not a continuous reading method, after detecting whether the vehicle exceeds the highest threshold time corresponding to the vehicle residence time at least twice within the set time period, if not, the reading device continues to read the information, and if so, the corresponding abnormal prompt information is fed back to the management platform.
By the method, a manager can timely know whether a vehicle stays at the station for more than a set time, and if so, the vehicle stays at the station for more than the set time, and the vehicle stays at the station for more than the set time.
As an alternative implementation manner, a corresponding longest period is set for the reading equipment corresponding to each station, whether the vehicle exceeds the longest period at the station or not is judged, and if so, prompt is carried out.
By the method, a manager can timely know whether a vehicle stays at the station for more than a set longest period, and if so, the process is considered to be seriously overtime to check.
As an alternative implementation manner, when judging whether the reading device reads the tag information, if the same reading device can detect more than two tag information, feeding back corresponding abnormal prompt information to the management platform.
If the same reading equipment can detect more than two tag information, the situation that more than two vehicles exist on the same station is indicated, or the reading equipment has a serial reading phenomenon, and workers are prompted to process in time.
As an alternative implementation manner, when judging whether the tag information is read by the reading equipment, the management platform judges whether the sum of residence time of the same vehicle in the corresponding production line/maintenance line exceeds a set threshold according to the information fed back by each reading equipment, and if so, the management platform sends out abnormal prompt information.
The design can realize the monitoring of the production or maintenance time of the whole vehicle. If the sum of the residence time of the same vehicle on the corresponding production line/maintenance line exceeds a set threshold value, the abnormal progress of the working procedure of the vehicle is indicated, and the process is required to be adjusted or updated in time, so that the control of the overall working procedure of production/maintenance is facilitated.
In a second aspect, there is provided a self-diagnostic system comprising:
the connection state diagnosis module is configured to judge whether the reading equipment can be normally connected with the management platform, if so, the management platform periodically patrols the reading equipment, sends request information to the reading equipment, and if not, sends prompt information;
the reading state diagnosis module is configured to judge whether the management platform can receive feedback information of corresponding reading equipment, if not, a restarting mechanism is started until the feedback information of the reading equipment can be received, and the management platform classifies the reading equipment according to the received basic data, running state and network strength of the reading equipment;
and the vehicle information diagnosis module is configured to judge whether the tag information is read by the reading equipment, if so, the reading equipment sends the tag information to the management platform, and the management platform stores the tag information into a storage space allocated to the corresponding reading equipment and displays the vehicle information corresponding to the tag information.
As an alternative embodiment, the vehicle information diagnosis module includes:
a first judging module configured to judge whether a reading mode of the reading device is a continuous reading mode;
the second judging module is configured to judge whether the vehicles marked by the tag information stay in the same station or not and exceed the corresponding highest threshold value;
a third judging module configured to judge the number of tags read by the reading device;
and the fourth judging module is configured to judge whether the stay time of the same vehicle in a plurality of designated stations exceeds a set threshold value in all the information marked by the tag information.
In a third aspect, a data management system is provided, including a management platform based on radio frequency technology and at least one reading device, where the management platform sends a data request to the over-frequency reading device at regular time, so that the reading device sends its running state, network strength and tag read-write condition to the management platform; the management platform performs corresponding response measures through the received information;
the management platform and the reading device perform self-diagnosis by adopting the self-diagnosis method or the self-diagnosis system.
Compared with the prior art, the invention has the beneficial effects that:
the invention distinguishes the fault problems which can occur in the connection process, the network transmission process and the data reading process of the reading equipment of the radio frequency technology, and correspondingly provides specific solving measures.
The invention can record the state and the self-diagnosis result of each reading device in time to form an abnormal list, is convenient for a manager to check, performs corresponding fault removal, abnormal solution and work adjustment, and realizes real-time data acquisition, normalized storage, real-time device control and real-time data service in the production process.
The invention can carry out real-time management and monitoring on each station vehicle, and carries out station vehicle state detection and whole vehicle state detection according to the conditions through ingenious design judgment logic, thereby ensuring the normal station progress of each process and controlling the whole production/maintenance whole process progress.
In order to make the above objects, features and advantages of the present invention more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
FIG. 1 is a flow chart of a self-diagnostic process of the present invention;
FIG. 2 is a schematic diagram of an exception handling flow in accordance with the present invention.
The specific embodiment is as follows:
the invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present invention. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", etc. refer to an orientation or a positional relationship based on that shown in the drawings, and are merely relational terms, which are used for convenience in describing structural relationships of various components or elements of the present invention, and do not denote any one of the components or elements of the present invention, and are not to be construed as limiting the present invention.
In the present invention, terms such as "fixedly attached," "connected," "coupled," and the like are to be construed broadly and refer to either a fixed connection or an integral or removable connection; can be directly connected or indirectly connected through an intermediate medium. The specific meaning of the terms in the present invention can be determined according to circumstances by a person skilled in the relevant art or the art, and is not to be construed as limiting the present invention.
Example 1
The self-diagnosis method and system are suitable for a rail transit management system based on radio frequency technology, wherein the management system comprises an RFID management platform (hereinafter referred to as a management platform for short) and an RFID super-frequency card reader (hereinafter referred to as a card reader for short). The RFID super-frequency card readers are respectively arranged on corresponding stations and are used for reading information of RFID tags (hereinafter referred to as tags) on vehicles, communicating with the management platform, receiving instructions of the management platform and feeding back the acquired tag information.
The types of card readers are roughly classified into two types according to the mode of collecting tag information, continuous collection and discontinuous collection. The continuous acquisition is suitable for the bench position under the general working condition. For the station positions requiring explosion-proof measures such as spraying and the like and the station positions of special use environments such as quenching and the like at high temperature, a card reader adopting a discontinuous acquisition mode is generally adopted.
The management platform is connected with the card reader in a Socket mode, and the management platform is utilized to send a data request to the super-frequency card reader at regular time, so that the card reader sends the running state of the super-frequency card reader to the management platform, the network strength and the reading and writing conditions of the RFID tag; and the management platform performs corresponding response measures through the received information.
As shown in fig. 1, the self-diagnosis method includes the steps of:
s1, judging whether a card reader can be normally connected with a management platform; if the card reader is not connected, directly prompting a manager to detect and connect the power supply of the card reader with a network; if the two are connected normally, the management platform periodically patrols and examines the card reader in a Socket mode and sends request information to the card reader;
s2, if the two are connected but the management platform still cannot receive the information sent by the high-frequency card reader, starting a restarting mechanism until the feedback information of the card reader can be received, if the number of the repeated connection tasks reaches the maximum value of the set number, directly displaying the abnormal code by the management platform, displaying specific content of the abnormality and the position information of the abnormality in an abnormal list, and carrying out corresponding checking and adjusting by staff according to the display information of the management platform, thereby completing reconnection of equipment.
Otherwise, the card reader directly sends the basic data, the running state and the network strength of the card reader to the management platform, and the management platform classifies the card reader through the received information of the card reader to determine whether the card reader is used for continuous reading or discontinuous reading.
S3, judging whether the card reader reads the data information of the tag or not, if so, directly transmitting the tag information to the management platform, correspondingly storing the tag information into a storage space of the corresponding card reader by the management platform, and displaying specific vehicle information in a workbench position corresponding to the card reader; and if the card reader does not detect the tag information, indicating that no vehicle exists in the corresponding station of the card reader.
In step S2, if the card reader information is normally received, judging that the card reader is normally connected, and displaying the card reader state according to the network state and the on-line condition fed back by the card reader. If the heartbeat is not read due to unstable network, packet loss and the like, a restarting mechanism is entered.
In the step, if abnormal prompt of offline card reader occurs in the management platform connected with the card reader, the management platform is required to reconnect the card reader every day at regular time, so that stable connection between the management platform and the card reader is maintained; and prompting an operator to check and adjust the corresponding position, and manually completing reconnection of the primary equipment after the operator finishes adjusting aiming at the problems, so that the connection state between the management platform and the card reader is recovered to be normal.
And the management platform gathers and displays the tag information read by each card reader, namely the vehicle information corresponding to the station.
If the card reader does not read the vehicle information, the equipment is kept to operate normally, and the heart state is detected regularly.
And reconnecting the offline card reader with the abnormal prompt at regular time every day to ensure stable connection.
In step S3, since different tag reading modes are adopted by the card readers at different positions according to different process requirements, different data processing modes are set in the management platform for different tag reading modes, and the method specifically comprises the following steps:
s31, judging whether the reading mode of the card reader is continuous reading, setting the highest threshold value of the vehicle staying at the station for the card reader of continuous reading and discontinuous reading respectively, if the vehicle staying time exceeds the corresponding highest threshold value, testing whether the card reader can also read the RFID label information of the vehicle, if not, indicating that the vehicle flows out of the specified position of the corresponding station, and if not, feeding back abnormal prompt information to the management platform, and prompting a worker to process the vehicle at the position by the management platform.
Specifically, as shown in fig. 2, it is assumed that the highest threshold value of the continuous reading method is 24 hours, and the highest threshold value of the discontinuous reading method is 72 hours.
The card reader in the continuous reading mode is always in a high-frequency acquisition state, so that whether the same vehicle is at the corresponding station for more than 24 hours can be judged through the information which is always acquired. If yes, judging whether the card reader can read the label information, if yes, considering that the corresponding procedure link of the production/maintenance work of the vehicle is not completed, and normally feeding back the vehicle information, and prompting to judge whether the procedure is seriously overtime.
If the reader is not capable of reading the tag information and the reader at the next station does not read the vehicle information, the vehicle is considered to flow out of the station, and abnormality prompt is carried out.
And the operator checks the states of the vehicle and the station according to the prompt information.
If the non-continuous reading mode is adopted, a certain number of times (twice in the embodiment) are set every day to read whether the vehicle stays at the station for more than 72 hours, if so, the prompt is given, and if not, the program is continuously executed.
S32, when the card reader detects that the residence time of the same vehicle at the station of the card reader exceeds the specified maximum time, abnormal information is sent to the management platform, and the management platform prompts a worker to process the vehicle.
There are two aspects, in one aspect, a value may be set that is greater than the highest threshold, e.g., 20 days. If the residence time of the same vehicle at the station of the same card reader exceeds the value, abnormal alarm is carried out.
Alternatively, a total duration may be set, for example, 40 days. If the total time of the stop of the same vehicle at the corresponding station of a plurality of card readers (belonging to the same production/maintenance line) exceeds the value, the total progress of the production/maintenance of the vehicle is overtime, and an abnormal alarm is also carried out.
S33, when the card reader reads the RFID tag information in the two vehicles in the station, if the card reader possibly reads in series, abnormal information is sent to the management platform, the management platform prompts a worker to process the situation, and whether the card reader has misreading or not is judged.
Of course, the setting of the parameters such as time mentioned in the above embodiments is an example, and in other embodiments, the above values may be adjusted.
By the scheme of the embodiment, the fault problems which can occur in the connection process, the network transmission process and the data reading process of the card reader are distinguished, and specific solving measures are correspondingly provided.
Of course, the above embodiments may also be used in NFC tag based data management systems.
Example two
A self-diagnostic system comprising:
the connection state diagnosis module is configured to judge whether the card reader can be normally connected with the management platform, if so, the management platform periodically patrols the card reader, sends request information to the card reader, and if not, sends prompt information;
the reading state diagnosis module is configured to judge whether the management platform can receive feedback information of a corresponding card reader, if not, a restarting mechanism is started until the feedback information of the card reader can be received, and the management platform classifies the card reader according to the received basic data, running state and network strength of the card reader;
the vehicle information diagnosis module is configured to judge whether the card reader reads the tag information, if so, the card reader sends the tag information to the management platform, and the management platform stores the tag information into a storage space allocated to the corresponding card reader and displays the vehicle information corresponding to the tag information.
As an alternative embodiment, the vehicle information diagnosis module includes:
the first judging module is configured to judge whether the reading mode of the card reader is a continuous reading mode or not;
the second judging module is configured to judge whether the vehicles marked by the tag information stay in the same station or not and exceed the corresponding highest threshold value;
the third judging module is configured to judge the number of the labels read by the card reader;
and the fourth judging module is configured to judge whether the stay time of the same vehicle in a plurality of designated stations exceeds a set threshold value in all the information marked by the tag information.
Example III
A data management system comprises a management platform and at least one card reader based on radio frequency technology, wherein the management platform sends a data request to the super-frequency card reader at regular time, so that the card reader sends the running state, network strength and reading and writing conditions of a tag to the management platform; the management platform performs corresponding response measures through the received information;
the management platform and the card reader perform self-diagnosis by adopting the self-diagnosis method of the first embodiment or the self-diagnosis system provided by the second embodiment.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
While the foregoing description of the embodiments of the present invention has been presented in conjunction with the drawings, it should be understood that it is not intended to limit the scope of the invention, but rather, it is intended to cover all modifications or variations within the scope of the invention as defined by the claims of the present invention.
Claims (11)
1. A self-diagnostic method, comprising the steps of:
judging whether the reading equipment can be normally connected with the management platform, if so, the management platform periodically patrols the reading equipment, sends request information to the reading equipment, and if not, sends prompt information;
judging whether the management platform can receive feedback information of corresponding reading equipment, if not, starting a restarting mechanism until the feedback information of the reading equipment can be received, and classifying the reading equipment according to the received basic data, running state and network strength of the reading equipment by the management platform;
judging whether the reading equipment reads the tag information or not, if so, sending the tag information to a management platform by the reading equipment, storing the tag information into a storage space allocated to the corresponding reading equipment by the management platform, and displaying vehicle information corresponding to the tag information;
the specific process for classifying the reading equipment comprises the steps of determining whether the information reading mode of the reading equipment is continuous, and classifying the reading equipment into a continuous reading type or a discontinuous reading type;
when judging whether the reading equipment reads the tag information, firstly judging whether the reading mode of the reading equipment is continuous reading, confirming the highest threshold value corresponding to the vehicle stay time according to the reading mode, and entering into anomaly detection;
if the vehicle is in a continuous reading mode, checking whether the vehicle stays in the same station and exceeds the highest threshold in the highest threshold by utilizing the continuous reading mode, if not, feeding back the tag information, if so, judging whether the tag information can be read normally by the reading equipment, if so, feeding back the tag information, otherwise, judging that the vehicle flows out of the station, determining whether the tag information of the vehicle can be detected by the reading equipment arranged in the next station, and if not, carrying out abnormal prompt on the vehicle.
2. The self-diagnosis method as claimed in claim 1, wherein a restarting mechanism is started, a management platform and the reading device are reconnected, and if the number of times of execution of the reconnection task reaches a maximum value of the set number of times, the management platform recognizes that the reading device is abnormal and records.
3. The self-diagnosis method according to claim 2, wherein after the occurrence of the abnormality, specific contents of the abnormality and information on the position of the occurrence of the abnormality are recorded, an abnormality list is written, and inspection, adjustment and reconnection are performed in accordance with the contents of the abnormality list.
4. A self-diagnostic method as defined in claim 2, wherein when said anomaly is a read device offline anomaly, reconnecting said read device is timed to maintain a stable connection between said management platform and said read device.
5. The self-diagnosis method according to claim 1, wherein if not, after detecting whether the vehicle exceeds the highest threshold time corresponding to the vehicle residence time at least twice within the set period of time, if not, the reading device continues to read the information, and if so, feeds back the corresponding abnormality prompt information to the management platform.
6. The self-diagnosis method according to claim 1, wherein when judging whether the tag information is read by the reading device, if the same reading device can detect more than two tag information, the corresponding abnormality prompt information is fed back to the management platform.
7. A self-diagnosis method according to claim 1, 5 or 6, wherein a corresponding longest period is set for each reading device corresponding to each station, and it is judged whether the vehicle at the station exceeds the longest period, and if so, a prompt is given.
8. The self-diagnosis method as set forth in claim 1, 5 or 6, wherein said management platform judges whether the sum of residence time of the same vehicle in the corresponding production line/service line exceeds a set threshold according to the information fed back by each reading device when judging whether the reading device reads the tag information, and if so, sends out an abnormality prompt message.
9. A self-diagnostic system, comprising:
the connection state diagnosis module is configured to judge whether the reading equipment can be normally connected with the management platform, if so, the management platform periodically patrols the reading equipment, sends request information to the reading equipment, and if not, sends prompt information;
the reading state diagnosis module is configured to judge whether the management platform can receive feedback information of corresponding reading equipment, if not, a restarting mechanism is started until the feedback information of the reading equipment can be received, and the management platform classifies the reading equipment according to the received basic data, running state and network strength of the reading equipment;
the vehicle information diagnosis module is configured to judge whether the tag information is read by the reading equipment, if so, the reading equipment sends the tag information to the management platform, and the management platform stores the tag information into a storage space allocated to the corresponding reading equipment and displays the vehicle information corresponding to the tag information;
the specific process for classifying the reading equipment comprises the steps of determining whether the information reading mode of the reading equipment is continuous, and classifying the reading equipment into a continuous reading type or a discontinuous reading type;
when judging whether the reading equipment reads the tag information, firstly judging whether the reading mode of the reading equipment is continuous reading, confirming the highest threshold value corresponding to the vehicle stay time according to the reading mode, and entering into anomaly detection;
if the vehicle is in a continuous reading mode, checking whether the vehicle stays in the same station and exceeds the highest threshold in the highest threshold by utilizing the continuous reading mode, if not, feeding back the tag information, if so, judging whether the tag information can be read normally by the reading equipment, if so, feeding back the tag information, otherwise, judging that the vehicle flows out of the station, determining whether the tag information of the vehicle can be detected by the reading equipment arranged in the next station, and if not, carrying out abnormal prompt on the vehicle.
10. The self-diagnostic system as set forth in claim 9, wherein said vehicle information diagnostic module includes:
a first judging module configured to judge whether a reading mode of the reading device is a continuous reading mode;
the second judging module is configured to judge whether the vehicles marked by the tag information stay in the same station or not and exceed the corresponding highest threshold value;
a third judging module configured to judge the number of tags read by the reading device;
and the fourth judging module is configured to judge whether the stay time of the same vehicle in a plurality of designated stations exceeds a set threshold value in all the information marked by the tag information.
11. The data management system is characterized by comprising a management platform based on a radio frequency technology and at least one reading device, wherein the management platform sends a data request to the reading device at regular time, so that the reading device sends the self running state, the network strength and the reading and writing condition of a label to the management platform; the management platform performs corresponding response measures through the received information;
the management platform and the reading device perform self-diagnosis using the self-diagnosis method according to any one of claims 1 to 8 or the self-diagnosis system according to claim 9 or 10.
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