CN115366958A - Self-diagnosis method and system and data management system - Google Patents
Self-diagnosis method and system and data management system Download PDFInfo
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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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- 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
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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 reading equipment can be normally connected with a management platform, 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 by the management platform according to received basic data, running state and network strength of the reading equipment; and judging whether the reading equipment reads the label information or not, if so, sending the label information to a management platform by the reading equipment, storing the label information into a storage space distributed to the corresponding reading equipment by the management platform, and displaying the vehicle information corresponding to the label 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 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 tags are used for storing information, reading the information by reading equipment and performing centralized management by using a management platform, and the application of the data management mode (such as Radio Frequency Identification (RFID) and Near Field Communication (NFC)) changes the production and operation mode of manufacturing enterprises, improves the management level of the production process, can obtain the production data of each link in time and optimizes the production process control. Production management personnel can read product information at any time through the management platform; other related personnel can grasp the production condition in time, adjust the production arrangement according to the situation and master the flow direction of the materials at any time.
Therefore, the mode is widely applied to various industries and is used for real-time management and monitoring of production data of each construction link in the industries. The rail transit industry also applies the technology, a management system formed by a management platform and a plurality of card readers is constructed, the card readers are used for reading information and uploading the information to the management platform, the management platform is used for carrying out centralized management on rail transit data, and the working efficiency is improved to a certain extent.
However, the management system can realize real-time management of rail transit data, improve data accuracy, meet the requirements of on-line production/scheduling, and is established on the basis of normal technical application. If a series of problems such as system fault, artificial fault, connection fault and the like occur in the communication technology, the problem of management and control of relevant data of the rail transit is greatly solved.
Disclosure of Invention
The invention provides a self-diagnosis method, a self-diagnosis system and a data management system for solving the problems, the self-diagnosis method is provided for the fault problem which may occur when the data management system based on the radio frequency technology is applied in the rail transit industry, corresponding data analysis and processing modes are set for different card reading modes, a management platform receives information of the running state, the network intensity and the like of equipment through a card reader, abnormal data occurring in the information are automatically monitored, the management platform collects various fault types to form a corresponding fault dictionary, and therefore the guidance work of fault clearing for workers is realized.
According to some embodiments, the invention adopts the following technical scheme:
in a first aspect, there is provided a self-diagnosis method including the steps of:
judging whether the reading equipment can be normally connected with the management platform, if so, regularly inspecting the reading equipment by the management platform, sending request information to the reading equipment, and if not, sending prompt information;
judging whether the management platform can receive the feedback information of the 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 by the management platform according to the received basic data, the operating state and the network strength of the reading equipment;
and judging whether the reading equipment reads the label information or not, if so, sending the label information to a management platform by the reading equipment, storing the label information into a storage space distributed to the corresponding reading equipment by the management platform, and displaying the vehicle information corresponding to the label information.
As an alternative embodiment, the content of the prompt message includes prompting the administrator to detect and reconnect the power supply or/and the network of the corresponding reading device.
As an alternative implementation, the restart mechanism is started, and reconnection between the management platform and the reading device is performed, and if the number of times of execution of the reconnection task reaches the maximum value of the set number of times, the management platform determines that the reading device has an abnormality and records the abnormality.
By restarting the system, the problem of insubstantial abnormity of reading equipment network, software and the like can be solved, timely reconnection is ensured, and the labor cost is saved.
As a further limitation, after an exception occurs, the specific content of the exception and the location information of the occurrence of the exception are recorded, written into an exception list, checked and adjusted according to the content of the exception list, and reconnected.
Through recording the abnormity into a form, managers can conveniently check the form, workers can conveniently adjust the work, and progress management of vehicles at each station is facilitated to be supervised.
As a further limitation, when the abnormality is an offline abnormality of the reading device, the reading device is reconnected at regular time to maintain a stable connection between the management platform and the reading device.
As an alternative embodiment, the specific process of classifying the reading devices includes determining whether the reading devices read the information continuously, and classifying the reading devices into a continuous reading category or a discontinuous reading category.
As an alternative embodiment, when determining whether the reading device reads the tag information, it first determines whether the reading mode of the reading device is continuous reading, and determines the highest threshold corresponding to the vehicle staying time according to the reading mode, and enters into the abnormal detection.
As a further limitation, if the station is a continuous reading mode, the continuous reading mode is utilized, whether the vehicle stays in the same station in the highest threshold value is checked, whether the station exceeds the highest threshold value is checked, if not, the tag information is fed back, if yes, whether the reading device can normally read the tag information is judged, if yes, the tag information is fed back, otherwise, the vehicle is judged to flow out of the station, whether the reading device arranged in the next station can detect the tag information of the vehicle is determined, and if not, the vehicle is subjected to abnormal prompt.
When continuously reading, in order to ensure the reading effect, the reading device can be restarted once within a set time so as to ensure the stability and the 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, an alarm is given in time.
As a further limitation, if the vehicle is not in a continuous reading mode, after detecting whether the vehicle exceeds the maximum threshold time of the corresponding vehicle stop time at least twice within a 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.
The mode enables a manager to know in time whether any vehicle stays at the station for more than the set time, and if so, the manager can process in time.
As an alternative embodiment, a corresponding longest period is set for the reading device corresponding to each station, whether the vehicle exceeds the longest period at the station is judged, and if yes, prompt is given.
The mode enables a manager to know whether a vehicle stays on the platform for more than a set maximum period in time, and if so, the manager considers that the process is seriously overtime and checks the process.
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, the corresponding abnormal prompt information is fed back to the management platform.
If the same reading equipment can detect more than two pieces of label information, the situation that the same station has more than two vehicles or the reading equipment has a serial reading phenomenon is shown, and staff are prompted to process the label information in time.
As an alternative implementation manner, when judging whether the reading device reads the tag information, the management platform judges whether the sum of the stay time of the same vehicle in the corresponding production line/maintenance line exceeds a set threshold value according to the information fed back by each reading device, and if yes, sends out an abnormal prompt message.
The design can realize the monitoring of the production or maintenance duration of the whole vehicle. If the sum of the stay time of the same vehicle in the corresponding production line/maintenance line exceeds a set threshold, the process progress of the vehicle is abnormal, and the vehicle needs to be adjusted or updated in time, so that the control on the overall process progress of production/maintenance is facilitated.
In a second aspect, there is provided a self-diagnosis 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 regularly inspects the reading equipment and 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, the operating state and the network intensity of the reading equipment;
the vehicle information diagnosis module is configured to judge whether the reading equipment reads the tag information, 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:
the reading device comprises a first judging module, a second judging module and a control module, wherein the first judging module is configured to judge whether a reading mode of the reading device is a continuous reading mode;
the second judgment module is configured to judge whether the vehicles identified by the tag information stay in the same station and exceed a 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 the appointed multiple stations exceeds a set threshold value in the information identified by all the tag information.
In a third aspect, a data management system is provided, which includes a management platform based on radio frequency technology and at least one reading device, wherein the management platform sends a data request to the super-frequency reading device at regular time, and the reading device sends a self-running state, network strength and a reading and writing condition of a tag to the management platform; the management platform carries out corresponding response measures according to the received information;
the management platform and the reading device perform self-diagnosis by using the self-diagnosis method or 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 self-diagnosis result of each reading device in time to form an abnormal list, is convenient for a manager to check, carries out corresponding fault elimination, 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 manage and monitor each platform vehicle in real time, detect the platform vehicle state and the whole vehicle state according to the condition by skillful design of judgment logic, and ensure the normal platform progress of each process and the control of the whole production/maintenance process progress.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a flow chart of the self-diagnostic process of the present invention;
FIG. 2 is a flow diagram illustrating exception handling according to the present invention.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. 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 invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
In the present invention, terms such as "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", "side", "bottom", etc. indicate orientations or positional relationships based on orientations or positional relationships shown in the drawings, and are only terms determined for convenience of describing structural relationships of components or elements of the present invention, and are not intended to refer to any components or elements of the present invention, and should not be construed as limiting the present invention.
In the present invention, terms such as "fixedly connected", "connected", and the like should be understood broadly, and mean that they may be fixedly connected, or may be integrally connected or detachably connected; may be directly connected or indirectly connected through an intermediate. The specific meanings of the above terms in the present invention can be determined according to specific situations by persons skilled in the relevant scientific or technical field, and are not to be construed as limiting the present invention.
Example one
A self-diagnosis method and a self-diagnosis system are suitable for a rail transit management system based on a radio frequency technology, and the management system comprises an RFID management platform (hereinafter referred to as a management platform) and an RFID super-frequency card reader (hereinafter referred to as a card reader). The RFID overclocking card readers are respectively arranged on corresponding stations and used for reading information of RFID labels (hereinafter referred to as labels) on vehicles, communicating with the management platform, receiving instructions of the management platform and feeding back collected label information.
The types of card readers are roughly divided into two types, namely continuous acquisition and discontinuous acquisition, according to the mode of acquiring tag information. And continuously collecting the table positions suitable for common working conditions. For stations requiring explosion-proof measures such as spraying and the like and stations in high-temperature special use environments such as quenching and the like, card readers adopting a discontinuous acquisition mode are generally adopted.
The management platform is connected with a card reader in a Socket mode, and sends a data request to the super-frequency card reader at regular time by using the management platform, so that the card reader sends the running state, the network intensity and the read-write condition of the RFID label to the management platform; and the management platform carries out corresponding response measures according to the received information.
As shown in fig. 1, the self-diagnostic method comprises the following steps:
s1, judging whether a card reader can be normally connected with a management platform or not; if the card reader is not connected, directly prompting a manager to detect and connect the power supply and the network of the card reader; if the two can be normally connected, the management platform regularly inspects the card reader in a Socket mode and sends request information to the card reader;
and S2, if the two are connected but the management platform still cannot receive information sent by the high-frequency card reader, starting a restarting mechanism until feedback information of the card reader can be received, if the number of times of execution of the reconnection tasks reaches the maximum value of the set number of times, directly displaying the abnormal codes by the management platform, displaying specific contents with the abnormality and position information with the abnormality in an abnormality list, and performing corresponding checking and adjusting by a worker according to the display information of the management platform, thereby completing the reconnection of the equipment.
Otherwise, the card reader directly sends the basic data, the running state and the network intensity of the card reader to the management platform, and the management platform classifies the card reader according to the received information of the card reader and determines whether the card reader reads continuously or discontinuously.
S3, judging whether the content of the card reader is read into the data information of the label, if the content of the card reader is read into the data information of the label, directly transmitting the label information to the management platform, correspondingly storing the label information into a storage space of the corresponding card reader by the management platform, and displaying the specific vehicle information in a working platform corresponding to the card reader; and if the card reader does not detect the label information, the fact that no vehicle exists in the station corresponding to the card reader is indicated.
In step S2, if the information of the card reader is normally received, the card reader is judged to be normally connected, and the state of the card reader is displayed according to the network state and the online condition fed back by the card reader. And if the heartbeat cannot be read due to the reasons of network instability, packet loss and the like, entering a restart mechanism.
In this step, if an abnormal indication that the card reader is offline occurs in the management platform connected with the card reader, the management platform is required to reconnect the card reader regularly every day, 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 equipment reconnection after the operator finishes adjusting the existing problems so as to enable the connection state between the management platform and the card reader to be recovered to be normal.
And the management platform collects and displays the label information read by each card reader, namely the vehicle information of the corresponding station.
If the card reader does not read the vehicle information, the normal operation of the equipment is kept, and the heart state is detected regularly.
And for the off-line card reader with abnormal prompt, the off-line card reader is reconnected at regular time every day to ensure stable connection.
In step S3, because the card readers at different positions may adopt different tag reading modes according to different process requirements, different data processing modes are set in the management platform for the different tag reading modes, which specifically includes the following steps:
s31, judging whether the reading mode of the card reader is continuous reading or not, respectively setting the highest threshold value of the vehicle staying at the station for the continuous reading card reader and the discontinuous reading card reader, if the vehicle staying time exceeds the time of the corresponding highest threshold value, testing whether the card reader can read the RFID label information of the vehicle or not, if not, indicating that the vehicle flows out of the specified position of the corresponding station, and if the card reader corresponding to the next station does not read the information of the corresponding vehicle, 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 maximum threshold value of the continuous reading method is 24 hours, and the maximum threshold value of the discontinuous reading method is 72 hours.
The card reader adopting the continuous reading mode is always in a high-frequency acquisition state, so that whether the time of the same vehicle in the corresponding station exceeds 24 hours or not can be judged through the information acquired all the time. If so, judging whether the card reader can read the label information, if so, considering that the procedure link corresponding to the production/maintenance work of the vehicle is not finished, feeding back the vehicle information normally, and prompting to judge whether the procedure is overtime seriously.
And if the disconnected card reader cannot read the label information and the card reader of the next station does not read the vehicle information, the vehicle is considered to flow out of the station, and abnormal prompt is carried out.
And the operator checks the states of the vehicle and the station according to the prompt message.
If the reading mode is a non-continuous reading mode, a certain number of times (twice in the embodiment) is set every day to read whether the vehicle stays at the station for more than 72 hours, if so, the vehicle is prompted, and if not, the program is continuously executed.
And S32, when the card reader detects that the stay time of the same vehicle at the station where the card reader is located exceeds the specified maximum time, sending abnormal information to the management platform, and prompting a worker to process the vehicle by the management platform.
There are two aspects, in one aspect, a value that is greater than the maximum threshold value, such as 20 days, may be set. If the stay time of the same vehicle at the station where the same card reader is located exceeds the value, an abnormal alarm is given.
On the other hand, a total period duration may also be set, for example, the total period duration is 40 days. If the total time of the same vehicle staying at the stations corresponding to the preset card readers (belonging to the same production/maintenance line) exceeds the value, the total production/maintenance schedule of the vehicle is over the deadline, and an abnormal alarm is also given.
And S33, when the card reader reads the RFID label information in the two vehicles in the station where the card reader is located, if the card reader can perform serial reading, sending abnormal information to the management platform, prompting a worker to process the situation by the management platform, and judging whether the card reader has the problems of misreading and the like.
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.
Through 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 can be distinguished, and specific solving measures are correspondingly provided.
Of course, the above embodiments may also be used in a data management system based on NFC tags.
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 regularly patrols the card reader and sends request information to the card reader, and if not, prompt information is sent;
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 restart 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, the operating state and the network intensity of the card reader;
the vehicle information diagnosis module is configured to judge whether the card reader reads the label information, if so, the card reader sends the label information to the management platform, and the management platform stores the label information into a storage space allocated to the corresponding card reader and displays the vehicle information corresponding to the label information.
As an alternative embodiment, the vehicle information diagnosis module includes:
the first judgment module is configured to judge whether the reading mode of the card reader is a continuous reading mode;
the second judgment module is configured to judge whether the vehicles identified by the tag information stay in the same station and exceed a corresponding highest threshold value;
the third judging module is configured to judge the number of the tags read by the card reader;
and the fourth judging module is configured to judge whether the stay time of the same vehicle in the appointed multiple stations exceeds a set threshold value in the information identified by all the tag information.
EXAMPLE III
A data management system comprises a management platform based on a radio frequency technology and at least one card reader, wherein the management platform sends a data request to the super-frequency card reader at regular time, and the card reader sends the self running state, the network intensity and the reading and writing condition of a label to the management platform; the management platform carries out corresponding response measures according to the received information;
the management platform and the card reader adopt the self-diagnosis method of the first embodiment or the self-diagnosis system provided by the second embodiment to perform self-diagnosis.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive changes in the technical solutions of the present invention.
Claims (14)
1. A self-diagnosis method characterized by comprising the steps of:
judging whether the reading equipment can be normally connected with the management platform, if so, the management platform regularly patrols and examines the reading equipment and sends request information to the reading equipment, and if not, sending 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 by the management platform according to the received basic data, the operating state and the network strength of the reading equipment;
and judging whether the reading equipment reads the label information or not, if so, sending the label information to a management platform by the reading equipment, storing the label information into a storage space allocated to the corresponding reading equipment by the management platform, and displaying the vehicle information corresponding to the label information.
2. A self-diagnosis method as claimed in claim 1, wherein the restart mechanism is started and reconnection between the management platform and said reading device is performed, and if the number of times of reconnection task execution reaches the maximum value of the set number of times, the management platform recognizes that there is an abnormality in the reading device and records it.
3. A self-diagnosis method according to claim 2, wherein after occurrence of an abnormality, the specific contents of the abnormality and the position information of the occurrence of the abnormality are recorded, written in an abnormality list, checked, adjusted and reconnected in accordance with the contents of the abnormality list.
4. A self-diagnosis method according to claim 1 or 2, wherein when the abnormality is an offline abnormality of a reading device, the reading device is reconnected periodically to maintain a stable connection between the management platform and the reading device.
5. A self-diagnostic method according to claim 1, wherein said specific process of classifying said reading devices includes determining whether the manner in which the reading devices read the information is continuous, and classifying the reading devices into a continuous reading category or a discontinuous reading category.
6. The self-diagnosis method according to claim 1 or 5, wherein when judging whether or not the reading device reads the tag information, it is judged first whether or not the reading mode of the reading device is a continuous reading, and based on the reading mode, the highest threshold corresponding to the vehicle staying time is confirmed, and abnormality detection is entered.
7. The self-diagnosis method according to claim 6, wherein if the reading mode is a continuous reading mode, whether the vehicle stays in the same station exceeding the highest threshold is checked by using the continuous reading mode within the highest threshold, if not, the tag information is fed back, if yes, whether the reading device can normally read the tag information is judged, if yes, the tag information is fed back, otherwise, the vehicle is judged to flow out of the station, whether the reading device arranged in the next station can detect the tag information of the vehicle is determined, and if not, the vehicle is abnormally prompted.
8. A self-diagnosis method according to claim 6, wherein if it is not a continuous reading mode, after detecting whether the vehicle exceeds the maximum threshold time corresponding to the vehicle staying time at least twice within a set time period, if not, said reading device continues to read information, and if so, feeds back corresponding abnormality prompt information to said management platform.
9. The self-diagnosis method according to claim 1, wherein when judging whether the reading device reads the tag information, if the same reading device can detect more than two tag information, the corresponding abnormal prompt information is fed back to the management platform.
10. A self-diagnostic method according to claim 1 or 7 or 8 or 9, characterized in that a corresponding maximum period is set for the reading device for each station, it is judged whether the vehicle has exceeded said maximum period at this station, and if so, a prompt is made.
11. A self-diagnosis method as claimed in claim 1, 7, 8 or 9, wherein when judging whether the reading device reads the tag information, the management platform judges whether the sum of the stay time of the same vehicle in the corresponding production line/maintenance line exceeds the set threshold value according to the information fed back by each reading device, and if so, sends out an abnormal prompt message.
12. A self-diagnosis system characterized by 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 regularly patrols and examines the reading equipment and sends request information to the reading equipment, and if not, prompt information is sent;
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, the operating state and the network intensity of the reading equipment;
the vehicle information diagnosis module is configured to judge whether the reading equipment reads the tag information, 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.
13. The self-diagnosis system according to claim 12, wherein the vehicle information diagnosis module comprises:
the reading device comprises a first judging module, a second judging module and a control module, wherein the first judging module is configured to judge whether a reading mode of the reading device is a continuous reading mode;
the second judgment module is configured to judge whether the vehicles identified by the tag information stay in the same station and exceed a 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 the appointed multiple stations exceeds a set threshold value in the information identified by all the tag information.
14. A 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 over-frequency reading device at regular time, and the reading device sends the self running state, the network intensity and the reading and writing condition of a label to the management platform; the management platform carries out corresponding response measures according to the received information;
the management platform and the reading device conduct self-diagnosis using the self-diagnosis method of any one of claims 1 to 11 or the self-diagnosis system of claim 12 or 13.
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| Publication number | Priority date | Publication date | Assignee | Title |
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