CN107426013B - Equipment information monitoring method, device and system - Google Patents
Equipment information monitoring method, device and system Download PDFInfo
- Publication number
- CN107426013B CN107426013B CN201710393095.1A CN201710393095A CN107426013B CN 107426013 B CN107426013 B CN 107426013B CN 201710393095 A CN201710393095 A CN 201710393095A CN 107426013 B CN107426013 B CN 107426013B
- Authority
- CN
- China
- Prior art keywords
- preset
- condition
- equipment
- comparison result
- tested
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/06—Generation of reports
- H04L43/065—Generation of reports related to network devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/50—Testing arrangements
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a method, a device and a system for monitoring equipment information, wherein the method and the device are applied to a monitoring terminal communicated with a server, and the monitoring terminal is installed on equipment to be tested. The method comprises the following steps: detecting whether the equipment to be detected meets a preset data acquisition condition or not after the equipment to be detected is started; when the equipment to be tested meets the data acquisition condition, acquiring various operating parameters of the equipment to be tested; comparing the collected operation parameters of the equipment to be tested with the operation parameters collected last time; monitoring a comparison result, if the comparison result meets a preset first condition, updating data, and if the comparison result meets a preset second condition, starting a corresponding alarm program according to the second condition met by the comparison result. Through the design, the operation information of the equipment to be tested can be pre-judged at the monitoring terminal, and data updating or an alarm program is started when the preset condition is met, so that the operation pressure of the server is reduced.
Description
Technical Field
The invention relates to the technical field of information acquisition and monitoring, in particular to a method, a device and a system for monitoring equipment information.
Background
With the continuous development of economic level and scientific technology, various devices (such as vehicles, elevators, road and bridge detection devices and the like) with data sensing and data transmission functions gradually enter the visual field of people and become indispensable tools in the life of people. Monitoring of device performance, components, etc. is also becoming an issue of increasing concern. The current equipment monitoring terminal usually acquires the running information of the equipment to be tested in real time, uploads the acquired information to the server in real time for analysis and processing, and feeds back the information to the user. The real-time transmission mode can cause the problem that the bandwidth and the network flow occupy too much, the requirement on the processing performance of the server is higher, the high requirement on the performance of the server inevitably causes the increase of the cost, and the requirement of people cannot be met.
Disclosure of Invention
In view of the above, the present invention provides a method, an apparatus and a system for monitoring device information to improve the above problem.
In order to achieve the above object, a preferred embodiment of the present invention provides an apparatus information monitoring method, which is applied to a monitoring terminal in communication with a server, where the monitoring terminal is installed on an apparatus to be tested; the method comprises the following steps:
detecting whether the equipment to be detected meets a preset data acquisition condition or not after the equipment to be detected is started;
when the equipment to be tested meets the data acquisition condition, acquiring various operating parameters of the equipment to be tested;
comparing the collected operation parameters of the equipment to be tested with the operation parameters collected last time respectively;
monitoring a comparison result, if the comparison result meets a preset first condition, updating data, and if the comparison result meets a preset second condition, starting a corresponding alarm program according to the second condition met by the comparison result.
Preferably, in the method, the preset second condition includes an early warning condition and an alarm condition; and starting a corresponding alarm program according to a second condition met by the comparison result, wherein the step comprises the following steps of:
if the comparison result meets the early warning condition, sending early warning information to the server;
and if the comparison result meets the alarm condition, sending alarm information to the server.
Preferably, in the method, the step of comparing the collected operation parameters of the device under test with the operation parameters collected last time includes:
detecting whether the number of items and the type of the collected operation parameters are the same as the number of items and the type of the operation parameters collected last time;
if the operation parameters are the same, comparing the acquired operation parameters with the operation parameters acquired last time according to a first preset mode;
and if the comparison result is different, judging that the comparison result meets a preset first condition, and comparing the collected operation parameters with the operation parameters collected last time according to a second preset mode.
Preferably, in the method, the step of comparing the collected operation parameters with the operation parameters collected last time according to a first preset mode includes:
calculating the difference between the two collected operation parameters aiming at each collected operation parameter to obtain a plurality of differences;
detecting whether a difference value exceeding a first preset value exists in the plurality of difference values, if so, judging that the comparison result meets a preset alarm condition, and if not, detecting whether a difference value exceeding a second preset value and smaller than the first preset value exists in the plurality of difference values, wherein the first preset value is larger than the second preset value;
if the difference values exist, judging that the comparison result meets a preset early warning condition, and if the difference values do not exist, detecting whether the difference values which are larger than 0 and smaller than a second preset value exist in the plurality of difference values;
and if so, judging that the comparison result meets a preset first condition.
Preferably, in the method, the step of comparing the collected operation parameters with the operation parameters collected last time according to a second preset mode includes:
counting the number of different operation parameter items in the operation parameters acquired twice;
if the number exceeds a third preset value, judging that preset alarm conditions of the comparison result are met;
and if the number exceeds a value smaller than the third preset value and exceeds a fourth preset value, judging that the comparison result meets a preset early warning condition, wherein the third preset value is larger than the fourth preset value.
Preferably, in the method, the monitoring terminal records the linkage relationship among the operating parameters of the equipment to be tested;
the step of comparing each acquired operation parameter of the equipment to be tested with each acquired operation parameter of the last time respectively further comprises:
aiming at each collected operation parameter, detecting whether the change of the operation parameter in linkage relation with the operation parameter relative to the operation parameter accords with a preset change rule or not;
and if not, judging that the comparison result meets a preset alarm condition.
Preferably, in the above method, the step of updating data includes:
sending each operation parameter collected last time to a server for recording;
and covering the last acquired operation parameter with the acquired operation parameter of the equipment to be detected.
Preferably, in the method, the step of detecting whether the device under test meets a preset data acquisition condition includes:
monitoring preset operation parameters of the equipment to be tested;
and when the preset operation parameters of the equipment to be tested maintain the preset duration of the current numerical value, judging that the equipment to be tested meets the preset data acquisition conditions.
The preferred embodiment of the invention also provides an equipment information monitoring device, which is applied to a monitoring terminal communicated with the server, wherein the monitoring terminal is arranged on equipment to be tested; the device information monitoring apparatus includes:
the device comprises a detection module, a data acquisition module and a data processing module, wherein the detection module is used for detecting whether the device to be detected meets a preset data acquisition condition after the device to be detected is started;
the acquisition module is used for acquiring various operating parameters of the equipment to be detected when the equipment to be detected meets the data acquisition condition;
the comparison module is used for comparing the collected operation parameters of the equipment to be tested with the operation parameters collected last time;
and the monitoring module is used for monitoring the comparison result, updating data if the comparison result meets a preset first condition, and starting a corresponding alarm program according to a second condition met by the comparison result if the comparison result meets a preset second condition.
The preferred embodiment of the invention also provides an equipment information monitoring system, which comprises a monitoring terminal and a server which are communicated with each other, wherein the monitoring terminal is arranged on equipment to be tested; the monitoring terminal comprises the equipment information monitoring device provided by the invention, and the server comprises a data analysis module;
the data analysis module is used for receiving the running data of the equipment to be tested sent by the monitoring terminal, comparing the running data with the running data of the equipment of the same model of the equipment to be tested, and analyzing to obtain the difference between the running data of the equipment to be tested and the running data of the equipment of the same model.
According to the equipment information monitoring method, device and system provided by the embodiment of the invention, the collected operation parameters of the equipment to be tested are respectively compared with the operation parameters collected last time at the monitoring terminal, and then alarm or data update is carried out when the comparison result meets the preset condition. Through the design, the operation information of the equipment to be tested can be pre-judged at the monitoring terminal, all collected data are not required to be uploaded to the server in real time, and the occupation of bandwidth and network is reduced. In addition, the server does not need to process all data collected by the monitoring terminal in real time, and the requirement on the performance of the server is lowered.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
Fig. 1 is a connection block diagram of an equipment information monitoring system according to an embodiment of the present invention.
Fig. 2 is a schematic block diagram of a monitoring terminal according to an embodiment of the present invention.
Fig. 3 is a schematic flowchart of an apparatus information monitoring method according to an embodiment of the present invention.
Fig. 4 is a schematic view of the substeps of step S103 shown in fig. 3.
Fig. 5 is a schematic diagram illustrating the sub-steps of step S202 shown in fig. 4.
Fig. 6 is a functional block diagram of an apparatus information monitoring device according to an embodiment of the present invention.
Icon: 10-equipment information monitoring system; 100-a monitoring terminal; 110-equipment information monitoring means; 111-a detection module; 112-an acquisition module; 113-a comparison module; 114-a monitoring module; 120-a memory; 130-a processor; 140-a communication unit; 150-a detection unit; 200-a server; 300-network.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Fig. 1 is a connection block diagram of an equipment information monitoring system 10 according to an embodiment of the present invention. The device information monitoring system 10 includes a monitoring terminal 100 and a server 200, and the monitoring terminal 100 and the server 200 may communicate via a network 300 to implement data interaction. The monitoring terminal 100 is installed in a device to be tested, and is configured to detect various operating parameters of the device to be tested and monitor the device to be tested according to the various operating parameters, for example, monitor whether a component of the device to be tested has a fault, whether the component is aged, whether the device to be tested is replaced, and the like.
In this embodiment, the device under test may be a device with data sensing and data transmission functions, such as a vehicle, an elevator, a road and bridge detection device, and the like. A data analysis module may be run in the server 200. The data analysis module may perform big data analysis based on the data uploaded by the monitoring terminal 100.
Fig. 2 is a block diagram of a monitoring terminal 100 according to an embodiment of the present invention. The monitoring terminal 100 includes an equipment information monitoring device 110, a memory 120, a processor 130, a communication unit 140, and a detection unit 150.
The memory 120, the processor 130, the communication unit 140 and the detection unit 150 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The device information monitoring apparatus 110 includes at least one software functional module that may be stored in the memory 120 in the form of software or firmware (firmware). The processor 130 is used for executing executable modules stored in the memory 120, such as software functional modules and computer programs included in the equipment information monitoring device 110.
The Memory 120 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like.
The processor 130 may be an integrated circuit chip having signal processing capabilities. The Processor 130 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and so on. But may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The communication unit 140 is configured to establish a communication connection between the monitoring terminal 100 and the server 200, so as to implement data transmission and interaction.
The detection unit 150 may be various detection devices (e.g., sensors) disposed in the device under test, and is configured to detect various operating parameters (e.g., vehicle speed, engine oil pressure, water temperature, etc.) of the device under test.
It should be understood that the structure shown in fig. 2 is merely illustrative, and the monitoring terminal 100 may have more or fewer components than those shown in fig. 2, and may have a different configuration than that shown in fig. 2. Wherein the components shown in fig. 2 may be implemented by hardware, software, or a combination thereof.
Fig. 3 is a schematic flowchart of an apparatus information monitoring method according to an embodiment of the present invention, where the apparatus information monitoring method is applied to a monitoring terminal 100 in communication with a server 200. The specific steps and flow shown in fig. 3 will be described in detail below.
Step S101: after the equipment to be tested is started, whether the equipment to be tested meets preset data acquisition conditions or not is detected.
Step S102: and when the equipment to be tested meets the data acquisition condition, acquiring various operating parameters of the equipment to be tested.
In this embodiment, the monitoring terminal 100 may detect the duration of the current value maintenance of the preset operation parameter of the device to be tested after the device to be tested is started, and if the current value maintenance of the preset operation parameter is the preset duration, it may be determined that the device to be tested satisfies the preset data acquisition condition, and starts to acquire each operation parameter of the device to be tested.
It should be noted that, in this embodiment, the monitoring terminal 100 may include various detecting devices disposed in the device under test, where the various detecting devices are used to detect various operating parameters of the device under test in real time. The term "start acquisition" as used herein is to be understood as that the processor 130 of the monitoring terminal 100 starts reading the values detected by the detecting devices for processing and storing the values in the memory 120.
The preset operating parameters may be selected variously for different devices under test. Taking the example that the device to be tested is a vehicle, the preset operation parameters may be a vehicle speed, an oil temperature, a gear and the like. Assuming that the preset operation parameter is a vehicle speed, in detail, when the monitoring terminal 100 detects that the current vehicle speed of the vehicle is 40km/h and monitors that the vehicle maintains the preset vehicle speed of 40km/h for a preset duration (e.g., 5 minutes), it may be determined that the vehicle meets a preset data acquisition condition, so as to start to acquire various operation parameters of the vehicle. It should be understood that 40km/h as described herein may also be a range of values, and when the detected current vehicle speed is less than a preset value with respect to a floating value of 40km/h, it is still considered that the current vehicle speed of the vehicle is maintained at 40 km/h.
Optionally, the preset time period may be, but is not limited to, 3 minutes to 6 minutes, and the specific time period may be flexibly adjusted according to the selected preset operation parameter.
Step S103: and comparing the collected operation parameters of the equipment to be tested with the operation parameters collected last time.
In this embodiment, the operating parameters may include operating information of each component of the device under test, and still taking the device under test as a vehicle as an example, the operating information may include, but is not limited to, an engine speed, an oil temperature, a gear, an oil pressure, and the like.
Step S104: monitoring a comparison result, if the comparison result meets a preset first condition, updating data, and if the comparison result meets a preset second condition, starting a corresponding alarm program according to the second condition met by the comparison result.
The first condition is a judgment condition for judging whether data updating is needed, and the second condition is a judgment condition for selecting an alarm program. In this embodiment, the first condition and the second condition are matched with the comparison rule used in step S103, that is, the selected comparison rule is different, and the first condition and the second condition are also changed correspondingly.
Optionally, the second condition may include an early warning condition and an alarm condition. The step of starting the corresponding alarm program by the monitoring terminal 100 according to the second condition satisfied by the comparison result may be implemented by the following sub-steps.
And if the comparison result meets the early warning condition, sending early warning information to the server 200.
And if the comparison result meets the alarm condition, sending alarm information to the server 200.
It should be understood that the monitoring terminal 100 may perform other suggestive operations while sending the warning message or alarm message to the server 200. For example, the pre-warning or alarm may be directly provided by at least one of the following means: sound alarm, light alarm or direct display on the screen.
As an implementation manner, whether the monitoring terminal 100 needs to send alarm information or warning information may be adjusted according to an application scenario of the monitoring terminal 100.
For example, when the monitoring terminal 100 is used to monitor whether a component of a device to be tested has a fault or is aged, the user may be correspondingly prompted at a local end when sending information to the server 200, that is, the user is prompted directly. For another example, when the device under test is a vehicle, a user may use the vehicle to perform mortgage loan, and when the monitoring terminal 100 is used to monitor whether the vehicle is replaced during transportation of the vehicle so as to avoid a person being insufficient in the vehicle loan service, the monitoring terminal 100 may not be used to directly prompt the user.
The inventor finds that, in practical application, on one hand, the diagnostic protocol used by the monitoring terminal 100 is different in application to different types of devices to be tested, so that the number and types of the operating parameters detected by the monitoring terminal 100 on the different types of devices to be tested may be different. On the other hand, aging or failure of some components in the device under test may cause that the operation parameter items corresponding to the components cannot be detected, so that the number and types of the operation parameter items detected by the monitoring terminal 100 are changed.
Thus, alternatively, as shown in fig. 4, in the present embodiment, step S103 may include step S201, step S202, and step S203.
Step S201, detecting whether the number of items and the category of the collected operation parameters are the same as the number of items and the category of the operation parameters collected last time. If the two are the same, step S202 is executed, and if the two are different, step S203 is executed.
And S202, comparing the collected operation parameters with the operation parameters collected last time according to a first preset mode.
And step S203, judging that the comparison result meets a preset first condition, and comparing the collected operation parameters with the operation parameters collected last time according to a second preset mode.
And when the number and the type of the collected operation parameters are different from those of the operation parameters collected last time, judging that the comparison result meets a preset first condition, and updating data. That is, in this embodiment, the preset first condition may be that the number of terms and the category of the collected operation parameters are different from the operation parameters collected last time, and specifically, at least one of the number of terms, the category, and the numerical values of the operation parameters is different. If the comparison result meets the preset first condition, the data updating is carried out.
In this embodiment, the monitoring terminal 100 may update data through the following steps.
First, the last collected operation parameters are sent to the server 200 for recording.
Therefore, data backup can be performed in the server 200, so that big data analysis can be performed later according to the data stored in the server 200, and a more accurate comparison result can be obtained. For example, the server 200 generally stores the model of the device to be tested, so when the server 200 receives the operating parameters of the device to be tested, multiple sets of operating parameters of the device of the model to which the device to be tested belongs may be called from the database, and the operating parameters of the device to be tested are compared with the multiple sets of operating parameters called from the database, so as to analyze whether the device to be tested has problems such as component aging, component failure, or replacement of the device to be tested. Optionally, the server 200 may push the result obtained by the analysis to the user terminal for displaying. The user terminal may be a communication device carried by a user (such as an elevator maintenance person, a car owner, etc.), or the monitoring terminal 100.
And then, covering the last acquired operation parameter by the acquired operation parameter of the equipment to be detected.
In this embodiment, the data coverage mode may be adjusted according to the specific difference between the collected operation parameters of the device under test and the operation parameters collected last time.
For example, if the number and type of the operation parameters collected this time are different from those collected last time, the collected operation parameters of the device under test can be directly used to cover the collected operation parameters.
For another example, if the number and the type of the collected operation parameters are the same as those of the operation parameters collected last time, but specific values of some of the operation parameters are different, the operation parameters collected last time may be covered by the operation parameters with different values. For other operation parameter items with the same specific values, no update is needed. Of course, in this embodiment, there may be other data updating rules, which may be adjusted according to actual situations.
In this embodiment, when the number of terms and the category of the operation parameter collected this time are the same as the number of terms and the category of the operation parameter collected last time, the values of the operation parameters collected twice may be compared respectively for further determination, that is, the first preset mode.
Referring to fig. 5, optionally, in the present embodiment, the step S202 may include six sub-steps of step 301, step 302, step 303, step 304, step 305 and step 306.
Step 301, calculating a difference between the two collected operation parameters for each collected operation parameter to obtain a plurality of differences.
Optionally, in this embodiment, for each acquired operation parameter, after acquiring the operation parameter, the monitoring terminal 100 may compare the acquired operation parameter with the operation parameter acquired last time under the same preset operation parameter. Therefore, the difference between the two collected operation parameters may be understood as calculating the difference between the value of the collected operation parameter at this time and the value of the operation parameter collected at the same preset operation parameter at the last time.
The device under test is exemplified as a vehicle. For example, when the preset operation parameter is a vehicle speed, if the engine speed acquired by the monitoring terminal 100 is 1400r/min when the vehicle speed is 40km/h, the monitoring terminal 100 may calculate a difference between the engine speed acquired by the monitoring terminal 100 and the engine speed acquired last time when the vehicle speed is 40 km/h.
Optionally, in this embodiment, each operating parameter may also be collected and compared with a certain range of the preset operating parameter. For example, various running parameters of the vehicle can be respectively collected in a vehicle speed interval of 21-40 km/h, and the collected running parameters are compared with the running parameters collected in the vehicle speed interval of 21-40 km/h last time.
When detected, a particular value, such as gear, may be detected for certain operating parameters. While for other operating parameters a floating interval can be detected, such as oil temperature, oil pressure, etc. For the operation parameter item only capable of detecting the floating interval, the difference value between the two collected floating intervals of the operation parameter item can be calculated. As an embodiment, calculating the difference between the two intervals may be implemented by calculating the difference between two endpoints of the interval, and calculating a ratio of a different range of the two intervals to the floating interval acquired last time.
Taking the vehicle speed interval of 21-40 km/h as an example, the floating interval of the engine oil pressure collected in the vehicle speed interval of 21-40 km/h at the last time is 2.5-3.0 kg (0.25-0.5 Mpa), and if the floating interval of the engine oil pressure collected in the vehicle speed interval of 21-40 km/h at this time is 2.5-3.02 kg, the excess percentage is as follows:
step S302, whether a difference value exceeding a first preset value exists in the plurality of difference values is detected. If yes, step S303 is executed, and if no, step S304 is executed.
And step S303, judging that the comparison result meets a preset alarm condition.
Step S304, detecting whether there is a difference value exceeding a second preset value and smaller than the first preset value in the plurality of difference values. If yes, the process returns to step S303, and if not, step S305 is executed.
Step S305, detecting whether there is a difference greater than 0 and smaller than the second preset value in the plurality of differences, and if so, determining that the comparison result meets a preset first condition.
In this embodiment, the first preset value is greater than the second preset value. It should be understood that the first preset value and the second preset value corresponding to each operating parameter can be adjusted according to actual conditions. The first preset value is a highest-order judgment condition, that is, when a difference value of some operation parameter acquired twice reaches the judgment condition, the possibility of a problem of the device to be tested is high, and an alarm process should be directly performed. The second preset value is a judgment condition with a relatively low order, that is, when the difference value of a certain operation parameter acquired twice reaches the second preset value but does not reach the first preset value, the device to be tested has a problem possibility, but the possibility is relatively weak, and the user can be only warned.
Further, if the comparison result shows that the data values acquired twice are different, but the difference value does not reach the first preset value yet, the possibility that the equipment to be tested has problems is low, and early warning or alarming is not needed. Perhaps only the parameter values are changed due to aging of the corresponding components, and only the collected parameters need to be stored in the server 200 for backup.
It should be noted that, in step S305, the absence of a difference value greater than 0 and smaller than the second preset value in the plurality of difference values indicates that the values of the two sets of operating parameters are the same, and no operation is performed.
Taking the oil pressure as an example, the first preset value may be 8%, and the second preset value may be 5%. Therefore, if the engine oil pressure floating interval acquired this time exceeds 8% or more of the engine oil pressure floating interval acquired last time, the alarm is directly given. And if the engine oil pressure floating interval acquired this time exceeds 5% -8% of the engine oil pressure floating interval acquired last time, early warning is carried out. If the engine oil pressure floating interval acquired this time exceeds 0-5% of the engine oil pressure floating interval acquired last time, only data updating is needed.
In this embodiment, when the number of items and the category of the operation parameter collected this time are different from the number of items and the category of the operation parameter collected last time, it indicates that the detected device under test may have at least one of the following problems: the device under test is replaced, a component corresponding to the changed operating parameter in the device under test may age, or a component corresponding to the changed operating parameter in the device under test may fail.
Optionally, in this embodiment, the step S203 may include the following sub-steps.
Firstly, the number of different operation parameter items in the operation parameters collected twice is counted.
In practice, there may be a variety of situations where the operating parameters are different. For example, 9 operation parameters are acquired last time, 8 operation parameters are acquired this time, and the 9 operation parameters acquired last time include the 8 operation parameters acquired this time. For another example, 8 operation parameters are acquired last time, 9 operation parameters are acquired this time, and the 9 operation parameters acquired this time include the 8 operation parameters acquired last time. In both cases, the number of different operating parameter items can be regarded as 1.
For another example, 8 operation parameters are acquired last time, 8 operation parameters are acquired this time, but one of the operation parameters acquired twice does not correspond to the other operation parameter. For example, the operation parameter a is acquired but the operation parameter B is not acquired last time, and the operation parameter B is acquired but the operation parameter a is not acquired this time. This situation can be seen as two different operating parameters.
It should be understood that, in the present embodiment, there are various ways of determining the number of different operation parameter items, which are not limited to the above examples, and may be expanded according to actual situations.
And then, if the number exceeds a third preset value, judging that the preset alarm condition of the comparison result is met. And if the number exceeds a value smaller than the third preset value and exceeds a fourth preset value, judging that the comparison result meets a preset early warning condition.
In this embodiment, the third preset value is greater than the fourth preset value, and the specific sizes of the third preset value and the fourth preset value can be flexibly adjusted according to actual requirements. When the number of different items in the operation parameters acquired twice reaches a third preset value, the difference between the data acquired this time and the data acquired last time is larger, and the comparison result can be judged to meet the alarm condition, so that the alarm is given. When the number of different items in the two collected operation parameters reaches the fourth preset value but does not reach the third preset value, the difference between the data collected this time and the data collected last time is smaller, the comparison result can be judged to meet the early warning condition, and only the early warning is needed to prompt the user that the equipment to be tested possibly has problems.
Optionally, in this embodiment, the monitoring terminal 100 may record a linkage relationship between the operating parameters of the device to be tested. Thus, the step S103 may further include the following sub-steps.
And aiming at each collected operation parameter, detecting whether the change of the operation parameter which has linkage relation with the operation parameter relative to the operation parameter accords with a preset change rule or not. And if not, judging that the comparison result meets a preset alarm condition.
Taking the example that the device to be tested is a vehicle, when the throttle opening and closing degree is increased, the rotating speed of the engine can be rapidly increased. Thus, when the engine speed is detected to rapidly rise, whether the throttle opening and closing degree is increased or not can be judged. If the throttle opening and closing degree is not increased, the preset change rule is not met, and the comparison result can be judged to meet the preset alarm condition. Of course, it may also be determined that the comparison result meets the preset early warning condition, and in this embodiment, the specific meeting of the early warning condition or the alarm condition may be adjusted according to the actual situation.
The equipment information monitoring method provided by the embodiment of the invention can be applied to different scenes. For example, it can be used to monitor whether a device component under test is malfunctioning, is aging, and is aging. For another example, when the device under test is a vehicle, in the car lending business, there is a problem that the loan amount is not taken out fraudulently, and the device information monitoring method provided by this embodiment can be used for monitoring whether the vehicle is replaced in the car lending business. In this application scenario, if the number of items and/or category of the data acquired at two times are different greatly, it is indicated that the type of the vehicle may be changed, for example, a car is replaced by a coach. If the number and/or category of the data acquired at two times are slightly different or have no difference, but the values of the corresponding parameter items are different, the situation is indicated that the vehicles of the same type can be replaced, for example, a vehicle of a newer 'XX' type is replaced by a vehicle of an older 'XX' type. Where "XX" represents the make and model of the vehicle.
Further, in this embodiment, the monitoring terminal 100 may store a rule database, and the rule database may store the various determination conditions and the comparison rules. In the using process, a new comparison rule or judgment condition can be added by self. For example, the importance levels of various operation parameters of the equipment to be tested can be set, and when the number of different operation parameters in the operation parameters acquired twice is judged, corresponding judgment conditions and alarm conditions can be further set according to the importance levels of the different operation parameters. If three non-important operation parameters are different, the early warning condition can be judged to be reached. When two important parameters are different, the early warning condition can be judged to be reached.
Further, various comparison steps involved in this embodiment may be partially executed in the monitoring terminal 100, and when the execution logic is complex, may be optionally implemented in the server 200. It should be understood that modifications made based on the present solution only based on the implementation subject matter should also be included in the scope of protection of the present application.
As shown in fig. 6, an apparatus information monitoring device 110 is further provided in an embodiment of the present invention, and is applied to a monitoring terminal 100 in communication with a server 200, where the monitoring terminal 100 is installed on a device to be tested. The device information monitoring apparatus 110 includes a detecting module 111, an acquiring module 112, a comparing module 113 and a monitoring module 114.
The detecting module 111 is configured to detect whether the device under test meets a preset data acquisition condition after the device under test is started.
In the present embodiment, the description of the detecting module 111 may refer to the detailed description of the step S101 shown in fig. 3, that is, the step S101 may be executed by the detecting module 111.
The collection module 112 is configured to collect various operating parameters of the device under test when the device under test meets the data collection condition.
In this embodiment, the description of the acquisition module 112 may specifically refer to the detailed description of step S102 shown in fig. 3, that is, the step S102 may be executed by the acquisition module 112.
The comparison module 113 is configured to compare the collected operation parameters of the device under test with the operation parameters collected last time.
In this embodiment, the description of the comparison module 113 may specifically refer to the detailed description of step S103 shown in fig. 3, that is, the step S103 may be executed by the comparison module 113.
The monitoring module 114 is configured to monitor a comparison result, perform data updating if the comparison result meets a preset first condition, and start a corresponding alarm program according to a second condition met by the comparison result if the comparison result meets a preset second condition.
In this embodiment, the description of the monitoring module 114 may specifically refer to the detailed description of step S104 shown in fig. 3, that is, the step S104 may be executed by the monitoring module 114.
Based on the above design, in the device information monitoring system 10, the server 200 includes a data analysis module, and the data analysis module is configured to receive the operation data of the device to be tested, which is sent by the monitoring terminal 100, and compare the operation data with the historical operation data of the device of the model to which the device to be tested belongs, so as to analyze and obtain a difference between the operation data of the device to be tested and the operation data of other devices of the same model.
In summary, according to the device information monitoring method, device and system provided by the embodiment of the present invention, the monitoring terminal 100 compares the collected operation parameters of the device to be tested with the operation parameters collected last time, and then alarms or updates data when the comparison result meets the preset condition. Through the design, the operation information of the equipment to be tested can be pre-judged at the monitoring terminal 100, all the acquired data are not required to be uploaded to the server 200 in real time, and the bandwidth and the occupation of the network 300 are reduced. In addition, the server 200 does not need to process all data collected by the monitoring terminal 100 in real time, and the requirement on the performance of the server 200 is reduced.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, the functional modules in the embodiments of the present invention may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
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.
Claims (8)
1. The equipment information monitoring method is characterized by being applied to a monitoring terminal communicated with a server, wherein the monitoring terminal is arranged on equipment to be tested; the method comprises the following steps:
detecting whether the equipment to be detected meets a preset data acquisition condition or not after the equipment to be detected is started;
when the equipment to be tested meets the data acquisition condition, acquiring various operating parameters of the equipment to be tested;
detecting whether the number of items and the type of the collected operation parameters are the same as the number of items and the type of the operation parameters collected last time;
if the operation parameters are the same, comparing the acquired operation parameters with the operation parameters acquired last time according to a first preset mode;
if the operation parameters are different, judging that the comparison result meets a preset first condition, and comparing the collected operation parameters with the operation parameters collected last time according to a second preset mode;
monitoring a comparison result, if the comparison result meets a preset first condition, updating data, and if the comparison result meets a preset second condition, starting a corresponding alarm program according to the second condition met by the comparison result;
the preset second condition comprises an early warning condition and an alarm condition; and starting a corresponding alarm program according to a second condition met by the comparison result, wherein the step comprises the following steps of:
if the comparison result meets the early warning condition, sending early warning information to the server;
and if the comparison result meets the alarm condition, sending alarm information to the server.
2. The method of claim 1, wherein the step of comparing the collected operating parameters with the last collected operating parameters according to a first preset manner comprises:
calculating the difference between the two collected operation parameters aiming at each collected operation parameter to obtain a plurality of differences;
detecting whether a difference value exceeding a first preset value exists in the plurality of difference values, if so, judging that the comparison result meets a preset alarm condition, and if not, detecting whether a difference value exceeding a second preset value and smaller than the first preset value exists in the plurality of difference values, wherein the first preset value is larger than the second preset value;
if the difference values exist, judging that the comparison result meets a preset early warning condition, and if the difference values do not exist, detecting whether the difference values which are larger than 0 and smaller than a second preset value exist in the plurality of difference values;
and if so, judging that the comparison result meets a preset first condition.
3. The method of claim 1, wherein the step of comparing the collected operating parameters with the last collected operating parameters according to a second preset manner comprises:
counting the number of different operation parameter items in the operation parameters acquired twice;
if the number exceeds a third preset value, judging that preset alarm conditions of the comparison result are met;
and if the number exceeds a value smaller than the third preset value and exceeds a fourth preset value, judging that the comparison result meets a preset early warning condition, wherein the third preset value is larger than the fourth preset value.
4. The method according to claim 1, characterized in that the monitoring terminal records the linkage relationship among the operating parameters of the device to be tested;
the step of comparing each acquired operation parameter of the equipment to be tested with each acquired operation parameter of the last time respectively further comprises:
aiming at each collected operation parameter, detecting whether the change of the operation parameter in linkage relation with the operation parameter relative to the operation parameter accords with a preset change rule or not;
and if not, judging that the comparison result meets a preset alarm condition.
5. The method according to any one of claims 1 to 4, wherein the step of performing data update comprises:
sending each operation parameter collected last time to a server for recording;
and covering the last acquired operation parameter with the acquired operation parameter of the equipment to be detected.
6. The method according to any one of claims 1 to 4, wherein the step of detecting whether the device under test satisfies a predetermined data acquisition condition comprises:
monitoring preset operation parameters of the equipment to be tested;
and when the preset operation parameters of the equipment to be tested maintain the preset duration of the current numerical value, judging that the equipment to be tested meets the preset data acquisition conditions.
7. The equipment information monitoring device is characterized by being applied to a monitoring terminal communicated with a server, wherein the monitoring terminal is arranged on equipment to be tested; the device information monitoring apparatus includes:
the device comprises a detection module, a data acquisition module and a data processing module, wherein the detection module is used for detecting whether the device to be detected meets a preset data acquisition condition after the device to be detected is started;
the acquisition module is used for acquiring various operating parameters of the equipment to be detected when the equipment to be detected meets the data acquisition condition;
the comparison module is used for detecting whether the number of terms and the type of the collected operation parameters are the same as the number of terms and the type of the operation parameters collected last time; if the operation parameters are the same, comparing the acquired operation parameters with the operation parameters acquired last time according to a first preset mode; if the operation parameters are different, judging that the comparison result meets a preset first condition, and comparing the collected operation parameters with the operation parameters collected last time according to a second preset mode;
the monitoring module is used for monitoring a comparison result, updating data if the comparison result meets a preset first condition, and starting a corresponding alarm program according to a second condition met by the comparison result if the comparison result meets a preset second condition;
the preset second condition comprises an early warning condition and an alarm condition; the mode that the monitoring module starts a corresponding alarm program according to the second condition met by the comparison result comprises the following steps:
if the comparison result meets the early warning condition, sending early warning information to the server; and if the comparison result meets the alarm condition, sending alarm information to the server.
8. The equipment information monitoring system is characterized by comprising a monitoring terminal and a server which are communicated with each other, wherein the monitoring terminal is arranged on equipment to be tested; the monitoring terminal comprises the equipment information monitoring device of claim 7, and the server comprises a data analysis module;
the data analysis module is used for receiving the running data of the equipment to be tested sent by the monitoring terminal, comparing the running data with the running data of the equipment of the same model of the equipment to be tested, and analyzing to obtain the difference between the running data of the equipment to be tested and the running data of the equipment of the same model.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710393095.1A CN107426013B (en) | 2017-05-27 | 2017-05-27 | Equipment information monitoring method, device and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710393095.1A CN107426013B (en) | 2017-05-27 | 2017-05-27 | Equipment information monitoring method, device and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN107426013A CN107426013A (en) | 2017-12-01 |
| CN107426013B true CN107426013B (en) | 2020-04-10 |
Family
ID=60429115
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710393095.1A Active CN107426013B (en) | 2017-05-27 | 2017-05-27 | Equipment information monitoring method, device and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107426013B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110031232A (en) * | 2018-01-12 | 2019-07-19 | 上海汽车集团股份有限公司 | A kind of vehicle diagnosing system and method |
| CN108462897B (en) * | 2018-02-09 | 2020-08-18 | 北京奇艺世纪科技有限公司 | Data collection method and device for network faults |
| CN109032913A (en) * | 2018-08-20 | 2018-12-18 | 郑州云海信息技术有限公司 | A kind of stabilization of equipment performance detection method and relevant apparatus |
| CN110650051A (en) * | 2019-09-25 | 2020-01-03 | 深圳市证通电子股份有限公司 | Self-service terminal monitoring method and system and computer readable storage medium |
| CN110849652B (en) * | 2019-12-06 | 2021-10-15 | 中国交通建设股份有限公司 | Intelligent control method and system for physical model test process |
| CN111327493B (en) * | 2020-01-23 | 2022-02-01 | 北京和利时系统集成有限公司 | Data acquisition method and device |
| CN113672267A (en) * | 2021-09-03 | 2021-11-19 | 中国银行股份有限公司 | Parameter updating method and device |
| CN114510345B (en) * | 2021-12-28 | 2024-06-04 | 山东有人物联网股份有限公司 | Data acquisition equipment, method and device and computer readable storage medium |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2387934C (en) * | 1999-10-28 | 2008-08-19 | General Electric Company | A process for the monitoring and diagnostics of data from a remote asset |
| CN103281461A (en) * | 2013-04-26 | 2013-09-04 | 上海华东电脑股份有限公司 | Call center monitoring method, device and system |
| CN104991853B (en) * | 2015-07-22 | 2018-07-06 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus for exporting warning information |
| CN106444662A (en) * | 2016-09-23 | 2017-02-22 | 东莞团诚自动化设备有限公司 | Data collecting device for Internet of Things and method |
-
2017
- 2017-05-27 CN CN201710393095.1A patent/CN107426013B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN107426013A (en) | 2017-12-01 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107426013B (en) | Equipment information monitoring method, device and system | |
| CN109313104B (en) | Machine monitoring | |
| CN110782659B (en) | Road condition determining method, road condition determining device, server and storage medium | |
| CN106887137B (en) | Congestion event prompting method and device | |
| JP2000234960A (en) | Temperature monitoring device for axle | |
| CN111506048B (en) | Vehicle fault early warning method and related equipment | |
| CN113085450A (en) | Tire slow air leakage detection method and device, vehicle and computer storage medium | |
| US9805523B2 (en) | Diagnostic procedures and method of collecting vehicles | |
| US20130173215A1 (en) | Adaptive trend-change detection and function fitting system and method | |
| CN114936675A (en) | Fault early warning method and device, storage medium and electronic equipment | |
| CN110837852A (en) | Fault diagnosis method and device for rolling mill gearbox and terminal equipment | |
| CN113672600A (en) | Anomaly detection method and system | |
| CN111062642A (en) | Method and device for identifying industrial risk degree of object and electronic equipment | |
| KR20160062259A (en) | Method, system and computer readable medium for managing abnormal state of vehicle | |
| CN115496386A (en) | Equipment inspection method, system and computer readable storage medium | |
| JP6594826B2 (en) | Vehicle diagnostic device | |
| CN108254199B (en) | Vehicle health prediction method, device and equipment | |
| CN107240015B (en) | Early warning method, device and system for vehicle | |
| CN116258482B (en) | Method for automatically selecting maintenance scheme, server and electronic equipment | |
| CN114758480A (en) | Driving risk judgment method and system based on real-time driving data | |
| JP6825259B2 (en) | Abnormality notification device and abnormality notification method | |
| CN112446980B (en) | Enhanced component fault diagnosis method for providing minimum probability fault | |
| US20230005308A1 (en) | Fault sign detection device, fault sign detection system, fault sign method, and fault sign detection program | |
| CN116685478A (en) | System and method for detecting the rate of pressure loss of a motor vehicle tyre and the associated events | |
| CN111341106B (en) | Traffic early warning method, device and equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |