CN113645522A - Method, device, equipment and medium for monitoring running state based on wireless network - Google Patents
Method, device, equipment and medium for monitoring running state based on wireless network Download PDFInfo
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Abstract
The invention discloses a method, a device, equipment and a medium for monitoring an operation state based on a wireless network, wherein the method comprises the following steps: and if the operation mode type is the same as the historical operation mode type, determining a monitoring data sending rule according to the operation mode type, acquiring state monitoring data corresponding to the operation mode type from the operation state information according to the monitoring data sending rule, and sending the state monitoring data to the management server. The invention belongs to the technical field of monitoring of pumping units, can send state monitoring data corresponding to the type of an operation mode according to a monitoring data sending rule, can greatly reduce the sending times of the state monitoring data under the condition of ensuring accurate monitoring of the operation state of the pumping unit, and can realize accurate monitoring based on low data transmission times.
Description
Technical Field
The invention relates to the technical field of pumping unit monitoring, in particular to a method, a device, equipment and a medium for monitoring an operation state based on a wireless network.
Background
The oil pumping machine working site on the oil field is usually distributed in a wider range, each oil pumping machine carries out oil pumping work independently, and each oil pumping machine cannot be watched by manpower respectively, the oil pumping machine is often out of work due to faults of the oil pumping machine in the actual working process, the situation that a manager cannot find out the faults in time is avoided, and the oil pumping operation cannot be carried out for a long time if the faults of the oil pumping machine cannot be eliminated in time, so that huge economic loss can be caused for production enterprises. For solving the problem that the pumping unit is difficult to find out faults in time, the running state monitoring device provided with a battery can be installed on the pumping unit in the prior art method, the running state monitoring device monitors the state of the pumping unit and sends monitoring data to a monitoring end in real time, a manager can acquire the running state of the pumping unit only by observing the monitoring data received by the monitoring end, however, the existing running state monitoring device can transmit all the monitoring acquired data to the monitoring end, the battery consumption of the running state monitoring device is extremely fast, and the running state of the pumping unit cannot be accurately monitored for a long time. Therefore, the pumping unit monitoring method in the prior art has the problem that the running state cannot be accurately monitored based on low data transmission times.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for monitoring an operating state based on a wireless network, and aims to solve the problem that the operating state cannot be accurately monitored based on low data transmission times in the prior art.
In a first aspect, an embodiment of the present invention provides an operation state monitoring method based on a wireless network, where the method is applied to an operation state monitoring device, the operation state monitoring device is installed on an oil pumping unit, and the operation state monitoring device establishes a wireless network connection with a management server to implement transmission of data information, and the method includes:
if a monitoring instruction from the management server is received, monitoring the state of the pumping unit in real time according to a prestored state monitoring rule to acquire the running state information of the pumping unit;
classifying the running state information according to a preset running mode classification model to obtain a corresponding running mode type;
judging whether the operation mode type corresponding to the operation state information is the same as the historical operation mode type;
if the operation mode type is the same as the historical operation mode type, determining a corresponding monitoring data sending rule according to the operation mode type;
and acquiring state monitoring data matched with the operation mode type from the state counting time length information of the operation state information according to the monitoring data sending rule, and sending the state monitoring data to the management server.
In a second aspect, an embodiment of the present invention provides an operation status monitoring apparatus based on a wireless network, including:
the operation state information acquisition unit is used for monitoring the state of the pumping unit in real time according to a prestored state monitoring rule to acquire the operation state information of the pumping unit if a monitoring instruction from the management server is received;
the operation mode type obtaining unit is used for classifying the operation state information according to a preset operation mode classification model to obtain a corresponding operation mode type;
the operation mode type judging unit is used for judging whether the operation mode type corresponding to the operation state information is the same as the historical operation mode type;
the monitoring data sending rule determining unit is used for determining a corresponding monitoring data sending rule according to the operation mode type if the operation mode type is the same as the historical operation mode type;
and the state monitoring data sending unit is used for acquiring state monitoring data matched with the operation mode type from the state counting time length information of the operation state information according to the monitoring data sending rule and sending the state monitoring data to the management server.
In a third aspect, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor, when executing the computer program, implements the method for monitoring an operation status based on a wireless network according to the first aspect.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and the computer program, when executed by a processor, causes the processor to execute the method for monitoring an operating state based on a wireless network according to the first aspect.
The embodiment of the invention provides a method, a device, equipment and a medium for monitoring an operation state based on a wireless network. And if the operation mode type is the same as the historical operation mode type, determining a monitoring data sending rule according to the operation mode type, acquiring state monitoring data corresponding to the operation mode type from the operation state information according to the monitoring data sending rule, and sending the state monitoring data to the management server. By the method, the operation mode type of the oil pumping unit is determined based on the operation state information, if the operation mode type is the same as the historical operation mode type, the corresponding monitoring data sending rule is determined, the state monitoring data corresponding to the operation mode type is sent according to the monitoring data sending rule, the sending times of the state monitoring data can be greatly reduced under the condition that the operation state of the oil pumping unit is accurately monitored, and therefore accurate monitoring of the operation state based on low data transmission times can be achieved.
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 description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for monitoring an operating state based on a wireless network according to an embodiment of the present invention;
fig. 2 is a schematic application scenario diagram of a wireless network-based operation status monitoring method according to an embodiment of the present invention;
fig. 3 is another schematic flow chart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 4 is a sub-flowchart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 5 is another schematic flow chart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 6 is another sub-flowchart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 7 is another sub-flowchart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 8 is another sub-flowchart of a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention;
fig. 9 is a schematic block diagram of an operation status monitoring apparatus based on a wireless network according to an embodiment of the present invention;
FIG. 10 is a schematic block diagram of a computer device provided by an embodiment of the present invention.
Detailed Description
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, not all, embodiments of the present 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 will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic flowchart illustrating a method for monitoring an operation status based on a wireless network according to an embodiment of the present invention; fig. 2 is a schematic application scenario diagram of a wireless network-based operation status monitoring method according to an embodiment of the present invention; the operation state monitoring method based on the wireless network is applied to an operation state monitoring device 10, the operation state monitoring device 10 is installed on a rocker arm of an oil pumping unit, the operation state monitoring device 10 and a management server 20 are connected through the wireless network to achieve transmission of data information, the management server 20 is a server end capable of managing one or more operation state monitoring devices 10, such as a server constructed by enterprises or government departments, the management server 20 can send monitoring instructions to the operation state monitoring device 10, and meanwhile the management server 20 can receive state monitoring data from the operation state monitoring device to monitor the operation state of the corresponding oil pumping unit. Fig. 2 shows only one operation state monitoring device 10 and the management server 20 for information transmission, and in practical applications, the management server 20 may simultaneously transmit information to a plurality of operation state monitoring devices 10. As shown in fig. 1, the method includes steps S110 to S150.
And S110, if receiving a monitoring instruction from the management server, monitoring the state of the pumping unit in real time according to a pre-stored state monitoring rule to acquire the running state information of the pumping unit.
The operation state monitoring device 10 can receive a monitoring instruction from the management server 20 through wireless network connection, and if the monitoring instruction is received, the operation state monitoring device 10 can start to monitor the state of the pumping unit in real time. Specifically, the state of the pumping unit can be monitored in real time according to the state monitoring rule, the gyroscope is configured in the running state monitoring device 10, the pumping unit moves and drives the gyroscope configured in the running state monitoring device 10 to move together, the running state of the pumping unit can be monitored by acquiring the motion information of the gyroscope, and the corresponding running state information is obtained.
In an embodiment, as shown in fig. 3, step S1101 is further included before step S110.
S1101, if parameter configuration information from the management server is received, configuring a pre-stored initial state monitoring rule according to the parameter configuration information to obtain a configured state monitoring rule.
The management server 20 may also send parameter configuration information to the operation status monitoring device 10 before sending the monitoring instruction, and after receiving the parameter configuration information, the operation status monitoring device 10 may configure the parameter included in the initial status monitoring rule according to the parameter configuration information to obtain the configured status monitoring rule. Specifically, the parameter configuration information includes a motion angle configuration value, a swing angle configuration value, and a monitoring interval time configuration value, and the motion angle parameter, the swing angle parameter, and the monitoring interval time parameter in the initial state monitoring rule may be configured according to three configuration values included in the parameter configuration information, so as to obtain a state monitoring rule for completing parameter configuration.
In one embodiment, as shown in FIG. 4, step S110 includes sub-steps S111 and S112.
And S111, periodically acquiring motion sampling information of the oil pumping unit according to the monitoring interval time in the state monitoring rule, and storing the motion sampling information into a sampling information data table.
The periodic acquisition can be carried out according to the monitoring interval time in the state monitoring rule, and the monitoring interval time can be configured according to the motion period of the pumping unit and is generally configured to be more than 1 second. For example, if the monitoring interval is 5 seconds (at this time, the motion period of the pumping unit is 5 seconds), the motion information of the gyroscope may be obtained every 5 seconds and used as one piece of motion sampling information of the pumping unit, where the motion sampling information may be a motion angle of the pumping unit in one motion period. The operation state monitoring device 10 is also configured with a data table for sampling information in advance, where the data table for sampling information is a data table for storing the motion sampling information acquired each time, that is, the motion sampling information acquired each time can be stored in the information data table.
And S112, judging the motion sampling information contained in the sampling information data table according to a state judgment rule in the state monitoring rule to obtain running state information containing a sampling state corresponding to each piece of motion sampling information.
The newly added motion sampling information in the sampling information data table can be judged according to the state judgment rule to obtain the sampling state of each motion sampling information, the sampling states of all the motion sampling information are taken as the running state information, and the running state information can comprise three states of a motion state, a swing state and a stop state. Firstly, judging whether the motion angle in the motion sampling information is larger than the motion angle parameter according to the motion angle parameter in the state monitoring rule, and if so, judging that the current motion state is in a motion state; if the motion angle is not larger than the swing angle parameter, judging that the motion angle is in a non-motion state, if the motion angle is in the non-motion state, continuously judging whether the motion angle is larger than the swing angle parameter in the state monitoring rule, and if the motion angle is larger than the swing angle parameter, judging that the motion angle is in a swing state; if not, the current state is judged to be in a stop state.
And S120, classifying the running state information according to a preset running mode classification model to obtain a corresponding running mode type.
The obtained operation state information can be classified to obtain an operation mode type corresponding to the operation state information, the operation state information comprises a plurality of sampling states of the pumping unit in a continuous time period, namely the operation mode type can be used for embodying a specific mode type of continuous operation of the pumping unit in a continuous time period, and the operation mode classification model is a specific model for classifying the operation state information.
In one embodiment, the operation mode classification model includes a plurality of mode types, and as shown in fig. 5, step S120 includes substeps S121 and S122.
And S121, counting the duration of each sampling state in the running state information to obtain a corresponding state counting duration.
In this embodiment, the operation mode classification model includes a plurality of mode types, and each mode type corresponds to a duration requirement. The duration of the sampling states can be counted, specifically, if the front and back sampling states in the running state information are the same, the duration with the same sampling states can be subjected to superposition counting, and if the front and back sampling states are different, the time point between the two sampling states is used as a dividing point of duration counting. The interval time between the starting time point of the former motion state and the starting time point of the latter motion state corresponds to a statistical period, one statistical period corresponds to a state statistical duration, a plurality of groups of state statistical durations corresponding to a plurality of statistical periods are combined to be state statistical duration information, and the state statistical duration obtained by current statistics is statistical data corresponding to the last statistical period in the state statistical duration information.
For example, after the duration of each sampling state in the running state information is counted, the obtained state counting duration information is shown in table 1.
| Sampling state | State of motion | Swing state | Rest state | Swing state | State of motion | … |
| Counting time length | 1.35h | 0.12h | 0.17h | 0.04h | 0.68h | … |
TABLE 1
The interval time between the starting time point of the previous "motion state" and the starting time point of the next "motion state" in the state statistical duration information is a statistical cycle time, and the statistical data in the statistical cycle time is a state statistical duration. For example, the elapsed time of "motion state-swing state-stop state-swing state" in table 1 is the statistical cycle time corresponding to one statistical cycle.
And S122, acquiring the mode type to which the duration requirement matched with the state statistical duration belongs as the corresponding operation mode type according to the duration requirement of each mode type.
Specifically, the operation mode classification model may include four mode types, namely a "long pumping mode", an "intermittent pumping mode", a "swing pumping mode", and an "unknown mode", each mode type corresponds to a duration requirement, whether statistical data included in the state statistical duration satisfies the duration requirement of each mode type may be sequentially determined, and if the statistical data included in the state statistical duration satisfies a certain duration requirement, the mode type to which the duration requirement belongs is obtained as the corresponding operation mode type.
For example, if the statistical duration of the "motion state" is not greater than 2 hours and the statistical duration of the "swing state + stop state" is not greater than 1 hour, the statistical data corresponding to one statistical period in table 1: and if the motion state is 1.35h and the swing state + stop state is 0.33 h, the duration requirement is met, and the operation mode type corresponding to the statistical data in the statistical period is an intermittent pumping mode.
In one embodiment, the operation mode classification model includes a classification neural network and a type determination rule, as shown in fig. 6, step S120 includes substeps S121, S123 and S124.
And S121, counting the duration of each sampling state in the running state information to obtain a corresponding state counting duration.
The specific technical method for obtaining the state statistic duration is described in detail in the above steps, and is not described herein again.
And S123, inputting the state statistical duration serving as a state duration vector into the classified neural network for recognition and calculation to obtain corresponding neural network output information.
The state time duration calculation method based on the artificial intelligence can be used for calculating the state time duration of the user, and can be used for calculating the state time duration of the user according to the state time duration of the user. The input layer may include three input nodes, and the three input nodes respectively correspond to the motion state, the swing state, and the stop state, so that the three time length statistics values respectively corresponding to the motion state, the swing state, and the stop state in the state time length vector may be input into the classification neural network through the input layer. The output layer comprises four output nodes, and the four input nodes respectively correspond to three modes of a long oil pumping mode, an interval oil pumping mode and a swing oil pumping mode. And inputting the state duration vector into a classification neural network for calculation, so that corresponding neural network output information can be obtained from an output layer, wherein the neural network output information comprises similarity corresponding to each output node, and the value range of each similarity is [0,1 ]. In addition, before the state duration vector is identified and calculated by using the classification neural network, the initial classification neural network can be trained through a pre-stored training data set to obtain the trained classification neural network, and the accuracy of the identification and calculation of the classification neural network is improved through iterative training.
And S124, determining the operation mode type corresponding to the operation state information from the neural network output information according to the type determination rule.
The corresponding operation mode type can be determined and obtained from the output information of the neural network according to a type determination rule, the type determination rule comprises a similarity threshold, specifically, an output node with the highest similarity can be obtained, whether the similarity of the output node is greater than the similarity threshold is judged, and if the similarity of the output node is greater than the similarity threshold, the mode type corresponding to the output node is determined as the finally obtained operation mode type; and if not, determining that the operation mode type corresponding to the operation state information is an unknown mode.
S130, judging whether the operation mode type corresponding to the operation state information is the same as the historical operation mode type.
Whether the currently obtained operation mode type is the same as the historical operation mode type or not can be judged, namely whether the operation mode type has continuity or not is judged, wherein the historical operation mode type is the operation mode type corresponding to the statistical data of the last statistical cycle time in the state statistical duration information.
In an embodiment, as shown in fig. 7, step S1301 is further included after step S130.
S1301, if the operation mode type is different from the historical operation mode type, sending a group of state statistical time corresponding to the operation mode type to the management server, and returning to the step of executing the real-time monitoring on the state of the oil pumping unit according to the pre-stored state monitoring rule to obtain the operation state information of the oil pumping unit.
If the operation mode type is different from the historical operation mode type, the operation mode type does not have continuity at the moment, a group of state statistical time length corresponding to the current operation mode type can be immediately sent to the management server, the current operation mode type is taken as the historical operation mode type, and then the step S110 is returned to be executed, so that the state of the pumping unit is continuously monitored in real time and the subsequent operation state information of the pumping unit is obtained.
And S140, if the operation mode type is the same as the historical operation mode type, determining a corresponding monitoring data sending rule according to the operation mode type.
Different operation mode types correspond to different monitoring data sending rules, if the current operation mode type is the same as the historical operation mode type, the corresponding monitoring data sending rule can be determined according to the current operation mode type, the monitoring data sending rule comprises sending times, and the different operation mode types correspond to different sending times.
For example, the number of transmissions in the monitoring data transmission rule corresponding to the unknown mode is 10, the number of transmissions in the monitoring data transmission rule corresponding to the long pumping mode is 1, the number of transmissions in the monitoring data transmission rule corresponding to the intermittent pumping mode is 5, and the number of transmissions in the monitoring data transmission rule corresponding to the swing pumping mode is 5.
S150, acquiring state monitoring data matched with the operation mode type from the state counting duration information of the operation state information according to the monitoring data sending rule, and sending the state monitoring data to the management server.
And acquiring state monitoring data matched with the current operation mode type from multiple continuous groups of state statistical time corresponding to the operation state information according to the determined monitoring data sending rule, and sending the state monitoring data to the management server, wherein the state monitoring data sent to the management server at least comprises one group of state statistical time.
In one embodiment, as shown in fig. 8, step S150 includes sub-steps S151, S152, and S153.
And S151, acquiring candidate statistical duration information matched with the operation mode type from the state statistical duration information.
And acquiring multiple groups of state statistical time matched with the current operation mode type from the state statistical time information as corresponding alternative statistical time information, wherein the state statistical time information comprises the state statistical time corresponding to each statistical period in the real-time monitoring process of the pumping unit, and the multiple groups of state statistical time which are latest in the state statistical time information and matched with the current operation mode type can be acquired as alternative statistical time information, and the alternative statistical time information at least comprises one group of state statistical time.
And S152, judging whether the statistical cycle number corresponding to the candidate statistical duration information is equal to the sending frequency of the monitoring data sending rule or not.
Each group of state statistical time in the alternative statistical time information corresponds to a statistical period, and then the statistical period number corresponding to the alternative statistical time information can be determined according to the state statistical time contained in the alternative statistical time information, and whether the statistical period number corresponding to the alternative statistical time information is equal to the sending frequency of the monitoring data sending rule or not is judged.
And S153, if the number of the statistical cycles corresponding to the candidate statistical duration information is equal to the number of sending times, sending the multiple groups of state statistical durations contained in the candidate statistical duration information as corresponding state monitoring data to the management server.
If the number of statistical cycles corresponding to the alternative statistical duration information is equal to the number of sending times, a plurality of groups of state statistical durations contained in the alternative statistical duration information can be sent to the management server as state monitoring data, at this time, the current operation mode type can be used as the historical operation mode type, and the step S110 is returned to be executed, so that the state of the pumping unit is continuously monitored in real time, and the subsequent operation state information of the pumping unit is obtained.
If the number of statistical cycles corresponding to the alternative statistical duration information is greater than or less than the number of sending times, the state monitoring data is not sent to the management server, at this time, the current operation mode type can be used as the historical operation mode type, and the step S110 is returned to be executed, so that the state of the pumping unit is continuously monitored in real time, the subsequent operation state information of the pumping unit is obtained, and the state monitoring data is sent to the management server again after the statistical number of cycles corresponding to the alternative statistical duration information is obtained through next judgment and is equal to the number of sending times. By the method, the sending times of the state monitoring data can be greatly reduced, namely, the operation state of the pumping unit can be accurately monitored based on low data transmission times, the service life of a battery in the operation state monitoring device can be greatly prolonged by fewer data sending times, and the operation state of the pumping unit can be accurately monitored for a long time.
In the method for monitoring the operation state based on the wireless network provided by the embodiment of the invention, the state of the pumping unit is monitored in real time according to the state monitoring rule after receiving the monitoring instruction to obtain the operation state information, the operation state information is classified according to the operation mode classification model to obtain the operation mode type, whether the operation mode type is the same as the historical operation mode type or not is judged, if so, the monitoring data sending rule is determined according to the operation mode type, and the state monitoring data corresponding to the operation mode type is obtained from the operation state information according to the monitoring data sending rule and is sent to the management server. By the method, the operation mode type of the oil pumping unit is determined based on the operation state information, if the operation mode type is the same as the historical operation mode type, the corresponding monitoring data sending rule is determined, the state monitoring data corresponding to the operation mode type is sent according to the monitoring data sending rule, the sending times of the state monitoring data can be greatly reduced under the condition that the operation state of the oil pumping unit is accurately monitored, and therefore accurate monitoring of the operation state based on low data transmission times can be achieved.
An embodiment of the present invention further provides an operation status monitoring device based on a wireless network, where the operation status monitoring device based on the wireless network is configured to execute any embodiment of the operation status monitoring method based on the wireless network, specifically, please refer to fig. 9, and fig. 9 is a schematic block diagram of the operation status monitoring device based on the wireless network according to the embodiment of the present invention.
As shown in fig. 9, the wireless network-based operation state monitoring apparatus 10 includes an operation state information obtaining unit 110, an operation mode type obtaining unit 120, an operation mode type judging unit 130, a monitoring data transmission rule determining unit 140, and a state monitoring data transmitting unit 150.
And an operation state information obtaining unit 110, configured to, if a monitoring instruction from the management server is received, perform real-time monitoring on the state of the pumping unit according to a pre-stored state monitoring rule to obtain operation state information of the pumping unit.
In an embodiment, the operation status monitoring apparatus 10 of the wireless network further includes sub-units: and the state monitoring rule configuration unit is used for configuring a pre-stored initial state monitoring rule according to the parameter configuration information to obtain a configured state monitoring rule if the parameter configuration information from the management server is received.
In one embodiment, the operation status information obtaining unit 110 includes sub-units: and the motion acquisition information storage unit is used for periodically acquiring the motion sampling information of the pumping unit according to the monitoring interval time in the state monitoring rule and storing the motion sampling information into a sampling information data table. And the motion sampling information judgment unit is used for judging the motion sampling information contained in the sampling information data table according to a state judgment rule in the state monitoring rule to obtain running state information containing a sampling state corresponding to each piece of motion sampling information.
The operation mode type obtaining unit 120 is configured to classify the operation state information according to a preset operation mode classification model to obtain a corresponding operation mode type.
In an embodiment, the operation mode type obtaining unit 120 includes sub-units: a state statistic duration obtaining unit, configured to count a duration of each sampling state in the running state information to obtain a corresponding state statistic duration; and the first operation mode type acquisition unit is used for acquiring the mode type to which the duration requirement matched with the state statistical duration belongs as the corresponding operation mode type according to the duration requirement of each mode type.
In an embodiment, the operation mode type obtaining unit 120 includes sub-units: a state statistic duration obtaining unit, configured to count a duration of each sampling state in the running state information to obtain a corresponding state statistic duration; the neural network output information acquisition unit is used for inputting the state statistical duration serving as a state duration vector into the classified neural network for identification calculation to obtain corresponding neural network output information; and the second operation mode type acquisition unit is used for determining the operation mode type corresponding to the operation state information from the neural network output information according to the type determination rule.
An operation mode type determining unit 130, configured to determine whether an operation mode type corresponding to the operation state information is the same as a historical operation mode type.
In an embodiment, the operation status monitoring apparatus 10 of the wireless network further includes sub-units: and the state counting duration sending unit is used for sending a group of state counting durations corresponding to the current operation mode type to the management server if the operation mode type is different from the historical operation mode type, and returning to execute the step of monitoring the state of the pumping unit in real time according to the prestored state monitoring rule so as to acquire the operation state information of the pumping unit.
A monitoring data sending rule determining unit 140, configured to determine, if the operation mode type is the same as the historical operation mode type, a corresponding monitoring data sending rule according to the operation mode type.
And a status monitoring data sending unit 150, configured to obtain status monitoring data matching the operation mode type from the status statistics duration information of the operation status information according to the monitoring data sending rule, and send the status monitoring data to the management server.
In one embodiment, the status monitoring data sending unit 150 includes sub-units: and the alternative monitoring data acquisition unit is used for acquiring alternative statistical time length information matched with the type of the operation mode from the state statistical time length information. And the statistical cycle number judging unit is used for judging whether the statistical cycle number corresponding to the alternative statistical duration information is equal to the sending frequency of the monitoring data sending rule or not. The monitoring data sending unit is configured to send, to the management server, multiple groups of state statistical durations included in the candidate statistical duration information as corresponding state monitoring data if the number of statistical cycles corresponding to the candidate statistical duration information is equal to the number of sending times.
The running state monitoring device based on the wireless network provided by the embodiment of the invention applies the running state monitoring method based on the wireless network, receives a monitoring instruction, monitors the state of the oil pumping unit in real time according to a state monitoring rule to obtain running state information, classifies the running state information according to a running mode classification model to obtain a running mode type, judges whether the running mode type is the same as a historical running mode type, determines a monitoring data sending rule according to the running mode type if the running mode type is the same, and obtains state monitoring data corresponding to the running mode type from the running state information according to the monitoring data sending rule to send to the management server. By the method, the operation mode type of the oil pumping unit is determined based on the operation state information, if the operation mode type is the same as the historical operation mode type, the corresponding monitoring data sending rule is determined, the state monitoring data corresponding to the operation mode type is sent according to the monitoring data sending rule, the sending times of the state monitoring data can be greatly reduced under the condition that the operation state of the oil pumping unit is accurately monitored, and therefore accurate monitoring of the operation state based on low data transmission times can be achieved.
The above-described wireless network-based operation state monitoring apparatus may be implemented in the form of a computer program that can be executed on a computer device as shown in fig. 10.
Referring to fig. 10, fig. 10 is a schematic block diagram of a computer device according to an embodiment of the present invention. The computer equipment can be an operation state monitoring device for executing the operation state monitoring method based on the wireless network so as to realize the monitoring of the operation state of the oil pumping unit.
Referring to fig. 10, the computer device 500 includes a processor 502, a memory, a wireless network module 505, and a battery module 506 connected by a system bus 501, wherein the memory may include a storage medium 503 and an internal memory 504. The processor 502 is further connected to a gyroscope 507, wherein the wireless network module 505 can be a 2G, 3G, 4G or 5G wireless network module, and the battery module 506 can be a non-rechargeable disposable battery.
The storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform a wireless network-based operation state monitoring method, wherein the storage medium 503 may be a volatile storage medium or a non-volatile storage medium.
The processor 502 is used to provide computing and control capabilities that support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the operation of the computer program 5032 in the storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 may be enabled to perform the wireless network-based operation status monitoring method.
The wireless network module 505 is used for wireless network communication, such as providing wireless transmission of data information. Those skilled in the art will appreciate that the configuration shown in fig. 10 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing device 500 to which aspects of the present invention may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
The processor 502 is configured to run the computer program 5032 stored in the memory to implement the corresponding functions in the wireless network-based operation status monitoring method.
Those skilled in the art will appreciate that the embodiment of a computer device illustrated in fig. 10 does not constitute a limitation on the specific construction of the computer device, and that in other embodiments a computer device may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may only include the memory, the processor, the battery module and the gyroscope, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 10, and are not described herein again.
It should be understood that, in the embodiment of the present invention, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components, and the like. Wherein a general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In another embodiment of the invention, a computer-readable storage medium is provided. The computer readable storage medium may be a volatile or non-volatile computer readable storage medium. The computer-readable storage medium stores a computer program, wherein the computer program, when executed by a processor, implements the wireless network-based operation state monitoring method described above.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only a logical division, and there may be other divisions when the actual implementation is performed, or units having the same function may be grouped into one unit, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit 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 essentially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a computer-readable storage medium, which includes several 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 computer-readable storage media comprise: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An operation state monitoring method based on a wireless network is characterized in that the method is applied to an operation state monitoring device, the operation state monitoring device is installed on an oil pumping unit, the operation state monitoring device is connected with a management server through the wireless network to realize the transmission of data information, and the method comprises the following steps:
if a monitoring instruction from the management server is received, monitoring the state of the pumping unit in real time according to a prestored state monitoring rule to acquire the running state information of the pumping unit;
classifying the running state information according to a preset running mode classification model to obtain a corresponding running mode type;
judging whether the operation mode type corresponding to the operation state information is the same as the historical operation mode type;
if the operation mode type is the same as the historical operation mode type, determining a corresponding monitoring data sending rule according to the operation mode type;
and acquiring state monitoring data matched with the operation mode type from the state counting time length information of the operation state information according to the monitoring data sending rule, and sending the state monitoring data to the management server.
2. The wireless network-based operation state monitoring method according to claim 1, wherein before the monitoring of the state of the pumping unit according to the pre-stored state monitoring rule to obtain the operation state information of the pumping unit if the monitoring instruction from the management server is received, the method further comprises:
and if the parameter configuration information from the management server is received, configuring the pre-stored initial state monitoring rule according to the parameter configuration information to obtain the configured state monitoring rule.
3. The wireless network-based operation state monitoring method according to claim 1, wherein the monitoring the state of the pumping unit in real time according to the pre-stored state monitoring rule to obtain the operation state information of the pumping unit comprises:
periodically acquiring motion sampling information of the pumping unit according to the monitoring interval time in the state monitoring rule and storing the motion sampling information into a sampling information data table;
and judging the motion sampling information contained in the sampling information data table according to a state judgment rule in the state monitoring rules to obtain running state information containing the sampling state corresponding to each piece of motion sampling information.
4. The method for monitoring the operating state based on the wireless network according to claim 1, wherein the operating state information is classified according to a preset operating mode classification model to obtain a corresponding operating mode type, and the operating mode classification model includes a plurality of mode types, including:
counting the duration of each sampling state in the running state information to obtain corresponding state counting duration;
and acquiring the mode type to which the duration requirement matched with the state statistical duration belongs as the corresponding operation mode type according to the duration requirement of each mode type.
5. The method for monitoring the operating state based on the wireless network according to claim 1, wherein the operating state information is classified according to a preset operating mode classification model to obtain a corresponding operating mode type, the operating mode classification model includes a classification neural network and a type determination rule, and the method includes:
counting the duration of each sampling state in the running state information to obtain corresponding state counting duration;
inputting the state statistical duration serving as a state duration vector into the classified neural network for identification calculation to obtain corresponding neural network output information;
and determining the operation mode type corresponding to the operation state information from the neural network output information according to the type determination rule.
6. The method according to claim 4 or 5, wherein after determining whether the operation mode type corresponding to the operation state information remains unchanged, the method further comprises:
and if the operation mode type is different from the historical operation mode type, sending a group of state statistical time corresponding to the operation mode type to the management server, and returning to the step of executing the real-time monitoring on the state of the pumping unit according to the pre-stored state monitoring rule to acquire the operation state information of the pumping unit.
7. The wireless network-based operation state monitoring method according to claim 4 or 5, wherein the acquiring the state monitoring data matched with the operation mode type from the state statistic duration information of the operation state information according to the monitoring data transmission rule and transmitting the state monitoring data to the management server includes:
acquiring alternative statistical duration information matched with the type of the operation mode from the state statistical duration information;
judging whether the statistical periodicity corresponding to the alternative statistical duration information is equal to the sending frequency of the monitoring data sending rule or not;
and if the number of the statistical cycles corresponding to the alternative statistical duration information is equal to the number of sending times, sending a plurality of groups of state statistical durations contained in the alternative statistical duration information as corresponding state monitoring data to the management server.
8. An operation state monitoring device based on a wireless network, comprising:
the operation state information acquisition unit is used for monitoring the state of the pumping unit in real time according to a prestored state monitoring rule to acquire the operation state information of the pumping unit if a monitoring instruction from the management server is received;
the operation mode type obtaining unit is used for classifying the operation state information according to a preset operation mode classification model to obtain a corresponding operation mode type;
the operation mode type judging unit is used for judging whether the operation mode type corresponding to the operation state information is the same as the historical operation mode type;
the monitoring data sending rule determining unit is used for determining a corresponding monitoring data sending rule according to the operation mode type if the operation mode type is the same as the historical operation mode type;
and the state monitoring data sending unit is used for acquiring state monitoring data matched with the operation mode type from the state counting time length information of the operation state information according to the monitoring data sending rule and sending the state monitoring data to the management server.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the wireless network based operation state monitoring method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by a processor, implements the wireless network-based operation state monitoring method according to any one of claims 1 to 7.
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