CN113625648A - Equipment running state determination method based on RFID identification - Google Patents

Abstract

The invention provides a method for determining the running state of equipment based on RFID (radio frequency identification), and relates to the technical field of radio frequency identification. In the invention, the equipment running state determining method comprises the following steps: screening the acquired equipment running state data to obtain a plurality of pieces of target equipment running state data corresponding to each radio frequency identification equipment, wherein the equipment running state data are used for representing the position state of a corresponding target part in corresponding acquisition time; performing characteristic extraction on a plurality of pieces of target equipment running state data respectively corresponding to a plurality of radio frequency identification devices to obtain corresponding target running state characteristic information; and determining an operation state monitoring result of the target equipment based on the target operation state characteristic information, wherein the operation state monitoring result comprises that the operation of the target equipment is abnormal or that the operation of the target equipment is not abnormal. Based on the method, the accuracy of monitoring the abnormal state of the equipment can be improved.

Description

Equipment running state determination method based on RFID identification

Technical Field

The invention relates to the technical field of radio frequency identification, in particular to a method for determining the running state of equipment based on RFID identification.

Background

Radio Frequency Identification (RFID) technology is a new automatic Identification technology developed in the 80 th 20 th century, and is a technology that uses Radio Frequency signals to realize contactless information transmission through spatial coupling (alternating magnetic field or electromagnetic field) and achieves the purpose of Identification through transmitted information. RFID is a simple wireless system for controlling, detecting and tracking objects, generally having two basic components, an interrogator and many transponders.

In the application of the RFID, the location state of the device may be confirmed based on the RFID, so as to obtain corresponding location state data, and perform corresponding subsequent utilization. For example, the status can be confirmed based on the acquired position status data, but the inventor researches and discovers that in the prior art, whether the operation of different parts of the equipment is abnormal or not is generally confirmed based on the position status data of the different parts of the equipment, so that the monitoring precision of the abnormal status of the equipment is not high.

Disclosure of Invention

In view of the above, the present invention provides a method for determining an operating status of a device based on RFID identification, so as to improve the accuracy of monitoring an abnormal status of the device.

In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:

an apparatus operation state determining method based on RFID identification is applied to an apparatus state monitoring server, and comprises the following steps:

the method comprises the steps that on the basis of acquired equipment running state data which are acquired by a plurality of radio frequency identification devices deployed aiming at target equipment and respectively acquire and send running states of the target equipment, screening processing is carried out to obtain a plurality of pieces of target equipment running state data corresponding to each radio frequency identification device, wherein the radio frequency identification devices are respectively deployed at a plurality of target parts of the target equipment, and the equipment running state data are used for representing position states of the corresponding target parts at corresponding acquisition time;

performing feature extraction on the multiple pieces of target equipment running state data respectively corresponding to the multiple pieces of radio frequency identification equipment to obtain corresponding target running state feature information;

and determining an operation state monitoring result of the target equipment based on the target operation state characteristic information, wherein the operation state monitoring result comprises that the operation of the target equipment is abnormal or that the operation of the target equipment is not abnormal.

In some preferred embodiments, in the method for determining an operating state of an apparatus based on RFID identification, the step of performing feature extraction on the plurality of pieces of target apparatus operating state data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating state feature information includes:

for each radio frequency identification device, sequencing the running state data of the target devices corresponding to the radio frequency identification device according to the sequence relation of the corresponding acquisition time to obtain a data sequence corresponding to the radio frequency identification device;

and for each radio frequency identification device, performing feature extraction based on the data sequence corresponding to the radio frequency identification device to obtain target running state feature information corresponding to the radio frequency identification device.

In some preferred embodiments, in the method for determining an operating state of a device based on RFID identification, the step of performing, for each of the RFID devices, feature extraction based on the data sequence corresponding to the RFID device to obtain feature information of a target operating state corresponding to the RFID device includes:

for each radio frequency identification device, determining position information of the target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device;

and for each radio frequency identification device, sequencing corresponding position information based on the precedence relationship of the running state data of each target device in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as the characteristic information of the running state of the target corresponding to the radio frequency identification device.

In some preferred embodiments, in the method for determining an operating state of an apparatus based on RFID identification, the step of performing feature extraction on the plurality of pieces of target apparatus operating state data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating state feature information includes:

classifying the multiple pieces of target equipment running state data corresponding to the multiple radio frequency identification devices respectively to obtain multiple classification data sets, wherein the acquisition time corresponding to any two pieces of target running state data belonging to the same classification data set is the same, the acquisition time corresponding to the radio frequency identification devices is different, and the acquisition time corresponding to any two pieces of target running state data belonging to different classification data sets is different;

and for each classified data set, performing feature extraction on a plurality of pieces of target equipment operating state data included in the classified data set to obtain target operating state feature information corresponding to the classified data set.

In some preferred embodiments, in the method for determining an operating state of a device based on RFID identification, for each of the classification data sets, the step of performing feature extraction on multiple pieces of target device operating state data included in the classification data set to obtain target operating state feature information corresponding to the classification data set includes:

for each classified data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classified data set at the acquisition time corresponding to the classified data set;

and for each classification data set, determining position relation information among the target parts based on the position information of the target parts corresponding to each piece of target equipment operation state data included in the classification data set, and taking the position relation information as target operation state characteristic information corresponding to the classification data set.

In some preferred embodiments, in the method for determining an operating state of an apparatus based on RFID identification, the step of performing feature extraction on the plurality of pieces of target apparatus operating state data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating state feature information includes:

for each radio frequency identification device, sequencing the running state data of the target devices corresponding to the radio frequency identification device according to the sequence relation of the corresponding acquisition time to obtain a data sequence corresponding to the radio frequency identification device, and performing first feature extraction on the data sequence to obtain first target running state feature information corresponding to the radio frequency identification device;

classifying the multiple pieces of target equipment operating state data corresponding to the multiple radio frequency identification devices respectively to obtain multiple classification data sets, and performing second feature extraction on the multiple pieces of target equipment operating state data included in each classification data set to obtain second target operating state feature information corresponding to the classification data set, wherein the acquisition time corresponding to any two pieces of target operating state data belonging to the same classification data set is the same, the radio frequency identification devices corresponding to any two pieces of target operating state data belonging to the same classification data set are different, and the acquisition time corresponding to any two pieces of target operating state data belonging to different classification data sets is different;

determining the number of the radio frequency identification devices to obtain the corresponding number of the devices, and determining the number of the classified data sets to obtain the corresponding number of the sets;

determining a relative magnitude relation between the equipment number and the set number, and respectively determining a weight coefficient corresponding to the first target operation state characteristic information and a weight coefficient corresponding to the second target operation state characteristic information based on the relative magnitude relation, wherein the weight coefficients are used for determining corresponding importance degrees when the operation state monitoring result of the target equipment is jointly determined based on the first target operation state characteristic information and the second target operation state characteristic information;

and taking the first target running state characteristic information, the second target running state characteristic information, the weight coefficient corresponding to the first target running state characteristic information and the weight coefficient corresponding to the second target running state characteristic information as corresponding target running state characteristic information.

In some preferred embodiments, in the method for determining an operating state of an apparatus based on RFID identification, the step of performing first feature extraction on the data sequence to obtain first target operating state feature information corresponding to the radio frequency identification apparatus includes:

for each radio frequency identification device, determining position information of the target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device;

and for each radio frequency identification device, sequencing corresponding position information based on the precedence relationship of the running state data of each target device in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as first target running state characteristic information corresponding to the radio frequency identification device.

In some preferred embodiments, in the above method for determining an operating state of a device based on RFID identification, the step of determining an operating state monitoring result of the target device based on the target operating state feature information includes:

for each radio frequency identification device, calculating the matching degree between the first target operation characteristic information corresponding to the radio frequency identification device and first operation characteristic representation information preset for the radio frequency identification device to obtain first characteristic matching degree information corresponding to the radio frequency identification device;

and performing fusion processing on the first feature matching degree information corresponding to each radio frequency identification device to obtain corresponding first feature matching degree fusion information.

In some preferred embodiments, in the method for determining an operating state of a device based on RFID identification, for each of the classification data sets, the step of performing second feature extraction on multiple pieces of target device operating state data included in the classification data set to obtain second target operating state feature information corresponding to the classification data set includes:

for each classified data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classified data set at the acquisition time corresponding to the classified data set;

and for each classification data set, determining position relation information between the target parts based on the position information of the target parts corresponding to each piece of target equipment operation state data included in the classification data set, and taking the position relation information as second target operation state characteristic information corresponding to the classification data set.

In some preferred embodiments, in the above method for determining an operating state of a device based on RFID identification, the step of determining an operating state monitoring result of the target device based on the target operating state feature information includes:

calculating the matching degree between the second target operation characteristic information corresponding to each classification data set and second operation characteristic characterization information preset for the classification data set aiming at each classification data set to obtain second characteristic matching degree information corresponding to the classification data set;

and performing fusion processing on the second feature matching degree information corresponding to each classified data set to obtain corresponding second feature matching degree fusion information.

According to the method for determining the running state of the equipment based on the RFID, after the running state data of the plurality of target equipment corresponding to each radio frequency identification device is obtained through screening, the running state data of the plurality of target equipment corresponding to the plurality of radio frequency identification devices respectively can be subjected to feature extraction to obtain the corresponding target running state feature information, and then the running state monitoring result of the target equipment is determined based on the target running state feature information.

In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.

Drawings

Fig. 1 is a communication schematic diagram of an apparatus status monitoring server according to an embodiment of the present invention.

Fig. 2 is a schematic diagram illustrating steps included in a device operation state determination method based on RFID identification according to an embodiment of the present invention.

Fig. 3 is a schematic diagram of modules included in an apparatus operation state determination device based on RFID identification according to an embodiment of the present invention.

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 only a part of the embodiments of the present invention, and not all of the embodiments. The components of 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.

The embodiment of the invention provides an equipment state monitoring server (as shown in figure 1). Wherein the device status monitoring server may include a memory and a processor.

In detail, the memory and the processor are electrically connected directly or indirectly to realize data transmission or interaction. For example, they may be electrically connected to each other via one or more communication buses or signal lines. The memory may have stored therein at least one software functional module (which may be an executable computer program) that may be in the form of software or firmware. The processor may be configured to execute the executable computer program stored in the memory, so as to implement the method for determining the device operation state based on RFID identification provided by the embodiment of the present invention.

Alternatively, the Memory may be 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), or the like. The Processor may be a general-purpose Processor including a Central Processing Unit (CPU), a Network Processor (NP), a System on Chip (SoC), 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, and discrete hardware components.

The embodiment of the invention also provides an equipment running state determining method based on RFID (radio frequency identification devices) (as shown in FIG. 2), which can be applied to the equipment state monitoring server. The method steps defined by the flow related to the device operation state determination method may be implemented by the device state monitoring server. The specific process shown in FIG. 2 will be described in detail below.

Step 10, based on the acquired device operation state data acquired and sent by the plurality of radio frequency identification devices deployed for the target device, performing screening processing to obtain a plurality of pieces of target device operation state data corresponding to each radio frequency identification device.

In the embodiment of the present invention, when the device status monitoring server executes step 10, the device status monitoring server may perform screening processing based on the device operating status data acquired and sent by the plurality of radio frequency identification devices deployed for the target device, to obtain the plurality of pieces of target device operating status data corresponding to each radio frequency identification device. The plurality of radio frequency identification devices are respectively deployed at a plurality of target parts of the target device, and the device operation state data is used for representing the position state of the corresponding target part at the corresponding acquisition time.

And 20, performing feature extraction on the multiple pieces of target equipment running state data respectively corresponding to the multiple pieces of radio frequency identification equipment to obtain corresponding target running state feature information.

In this embodiment of the present invention, when the device status monitoring server executes step 20, the device status monitoring server may perform feature extraction on the multiple pieces of target device operating status data respectively corresponding to the multiple pieces of radio frequency identification devices, so as to obtain corresponding target operating status feature information.

And step 30, determining the operation state monitoring result of the target equipment based on the target operation state characteristic information.

In this embodiment of the present invention, when the device status monitoring server executes step 30, the device status monitoring server may determine an operation status monitoring result of the target device based on the target operation status feature information. Wherein the operation state monitoring result includes that the operation of the target device is abnormal or that the operation of the target device is not abnormal.

Based on the above method for determining the running state of the device based on the RFID identification, after the running state data of the multiple target devices corresponding to each RFID device is obtained through screening, feature extraction may be performed on the running state data of the multiple target devices corresponding to the multiple RFID devices, respectively, to obtain corresponding target running state feature information, and then a running state monitoring result of the target device is determined based on the target running state feature information.

For example, in one possible implementation, step 10 may include steps 100, 200, and 300 as described below.

Step 100, acquiring device operation state data, which is acquired and sent by a plurality of radio frequency identification devices deployed for a target device respectively, to obtain a plurality of device operation state data corresponding to each radio frequency identification device.

In this embodiment of the present invention, when the device status monitoring server executes step 100, the device status monitoring server may obtain device operating status data, which is acquired and sent by a plurality of radio frequency identification devices deployed for a target device, respectively, and obtain a plurality of device operating status data corresponding to each radio frequency identification device. The plurality of radio frequency identification devices are respectively deployed at a plurality of target parts of the target device, and the device operation state data is used for representing the position state of the corresponding target part on the target device at the corresponding acquisition time.

Step 200, for each radio frequency identification device, screening multiple pieces of device operation state data corresponding to the radio frequency identification device to obtain multiple corresponding pieces of target device operation state data.

In this embodiment of the present invention, when the device status monitoring server executes step 200, the device status monitoring server may filter, for each of the rfid devices, multiple pieces of device operating status data corresponding to the rfid device, so as to obtain multiple pieces of corresponding target device operating status data.

Step 300, for each of the radio frequency identification devices, based on the operation state data of each target device corresponding to the other radio frequency identification devices, performing recovery confirmation processing on the operation state data of each device that is screened out from the radio frequency identification device, and re-determining each device operation state data that is confirmed to be recovered as the operation state data of the target device corresponding to the radio frequency identification device.

In this embodiment of the present invention, when the device status monitoring server executes step 300, for each of the radio frequency identification devices, based on each piece of target device operating status data corresponding to another radio frequency identification device, the device status monitoring server may execute recovery confirmation processing on each piece of device operating status data that is removed from the radio frequency identification device, and determine each piece of device operating status data that is confirmed to be recovered as the target device operating status data corresponding to the radio frequency identification device again.

Based on the above steps, when obtaining the multiple pieces of device operation state data corresponding to each rfid device, the multiple pieces of device operation state data corresponding to each rfid device may be first screened, then, a recovery confirmation process may be performed on each piece of device operation state data that is screened out of each rfid device, and each piece of device operation state data that is confirmed to be recovered is determined as the target device operation state data again.

For example, in one possible implementation, step 100 may include the following steps:

the method comprises the steps of firstly, judging whether operation starting notification information sent by the target equipment (such as sent after starting, wherein the target equipment can be an industrial robot and can comprise a plurality of target parts capable of being displaced relatively) is acquired, and generating state monitoring starting notification information after the operation starting notification information sent by the target equipment is acquired;

a second step of sending the state monitoring start notification information to each of a plurality of rfid devices deployed for the target device, where each of the plurality of rfid devices is configured to collect an operating state of the target device based on the state monitoring start notification information, and send obtained pieces of device operating state data to the device state monitoring server, and the plurality of rfid devices synchronously collect a state of a corresponding target portion (for example, for each of a plurality of collection times, the plurality of rfid devices may synchronously collect a current position state of the corresponding target portion at the collection time);

and thirdly, respectively acquiring multiple pieces of equipment running state data sent by each radio frequency identification equipment (namely, each radio frequency identification equipment can correspond to multiple pieces of equipment running state data).

For example, in a possible implementation manner, the step of respectively acquiring the multiple pieces of device operation state data sent by each of the radio frequency identification devices may include the following steps:

the method comprises the steps of firstly, judging whether operation stop notification information sent by target equipment (such as sending after stopping) is obtained or not, and generating state monitoring stop notification information after the operation stop notification information sent by the target equipment is obtained;

secondly, sending the state monitoring stop notification information to each radio frequency identification device in a plurality of radio frequency identification devices deployed for the target device, wherein each radio frequency identification device is used for stopping collecting the running state of the target device based on the state monitoring stop notification information, and sending all currently collected running state data of the device to the device state monitoring server after the collection is stopped;

and thirdly, respectively acquiring multiple pieces of equipment running state data sent by each radio frequency identification equipment based on the state monitoring stop notification information.

For example, in another possible implementation manner, the step of respectively acquiring the multiple pieces of device operation state data sent by each of the radio frequency identification devices may include the following steps:

the method comprises the steps that firstly, whether a time difference value between the current time and the sending time for sending the state monitoring starting notification information is larger than or equal to a preset time difference value (for example, the time length of each time the target equipment generally moves is set according to experience) or not is judged, and state monitoring stopping notification information is generated when the time difference value is larger than or equal to the preset time difference value or not;

secondly, sending the state monitoring stop notification information to each radio frequency identification device in a plurality of radio frequency identification devices deployed for the target device, wherein each radio frequency identification device is used for stopping collecting the running state of the target device based on the state monitoring stop notification information, and sending all currently collected running state data of the device to the device state monitoring server after the collection is stopped;

and thirdly, respectively acquiring multiple pieces of equipment running state data sent by each radio frequency identification equipment based on the state monitoring stop notification information.

For example, in one possible implementation, step 200 may include the following steps:

firstly, for each radio frequency identification device, performing feature extraction processing on each piece of device operation state data in the plurality of pieces of device operation state data corresponding to the radio frequency identification device to obtain data feature information of each piece of device operation state data corresponding to the radio frequency identification device (namely, one piece of data feature information corresponding to one piece of device operation state data);

and secondly, screening each piece of radio frequency identification equipment based on the data characteristic information of each piece of equipment running state data corresponding to the radio frequency identification equipment, and determining whether each piece of equipment running state data corresponding to the radio frequency identification equipment is used as corresponding target equipment running state data (namely screening the corresponding equipment running state data based on the data characteristic information).

For example, in a possible implementation manner, the step of performing, for each of the radio frequency identification devices, feature extraction processing on each of the plurality of pieces of device operation state data corresponding to the radio frequency identification device to obtain data feature information of each of the pieces of device operation state data corresponding to the radio frequency identification device may include the following steps:

and aiming at each radio frequency identification device, executing a first target operation on the plurality of pieces of device running state data corresponding to the radio frequency identification device to obtain data characteristic information of each piece of device running state data corresponding to the radio frequency identification device.

Wherein the first target operation comprises:

firstly, for each piece of equipment running state data in the plurality of pieces of equipment running state data, calculating a position distance between the equipment running state data and an adjacent piece of equipment running state data with a previous acquisition time (a position distance of a target part at two acquisition times), and obtaining equipment running distance information corresponding to the equipment running state data, wherein each piece of equipment running state data is used for representing the position information of the corresponding target part on the target equipment at a corresponding acquisition time;

secondly, for each piece of device operation state data in the multiple pieces of device operation state data, determining the device operation distance information corresponding to the device operation state data as data characteristic information corresponding to the device operation state data, wherein the device operation distance information corresponding to a first piece of device operation state data in the multiple pieces of device operation state data is configured to be 0

For example, in another possible implementation manner, the step of performing, for each of the radio frequency identification devices, feature extraction processing on each of the plurality of pieces of device operation state data corresponding to the radio frequency identification device to obtain data feature information of each of the pieces of device operation state data corresponding to the radio frequency identification device may include the following steps:

and executing a second target operation on the multiple pieces of equipment running state data corresponding to the radio frequency identification equipment aiming at each radio frequency identification equipment to obtain data characteristic information of each piece of equipment running state data corresponding to the radio frequency identification equipment.

Wherein the second target operation comprises:

firstly, aiming at each piece of equipment running state data in the plurality of pieces of equipment running state data, determining the moving track of a corresponding target part on the target equipment in a corresponding acquisition time period based on the equipment running state data, and obtaining target moving track information corresponding to the equipment running state data;

secondly, for each piece of equipment running state data in the plurality of pieces of equipment running state data, determining the target movement track information corresponding to the equipment running state data as data characteristic information corresponding to the equipment running state data.

For example, in a possible implementation manner, corresponding to the former one of the two foregoing examples, the step of, for each of the radio frequency identification devices, performing screening based on data characteristic information of each piece of the device operation state data corresponding to the radio frequency identification device, and determining whether each piece of the device operation state data corresponding to the radio frequency identification device is used as corresponding target device operation state data may include the following steps:

the method comprises the steps that firstly, for each radio frequency identification device, the relative size relation between the device running distance information corresponding to each piece of device running state data corresponding to the radio frequency identification device and preset running distance information is respectively determined;

and secondly, for each piece of equipment running state data in the plurality of pieces of equipment running state data corresponding to the radio frequency identification equipment, if the equipment running distance information corresponding to the equipment running state data is greater than or equal to the preset running distance information, determining the equipment running state data as target equipment running state data, and if the equipment running distance information corresponding to the equipment running state data is less than the preset running distance information, not determining the equipment running state data as the target equipment running state data.

For example, in another possible implementation manner, corresponding to the latter example of the two previous examples, the step of, for each of the radio frequency identification devices, performing screening based on data characteristic information of each piece of the device operation state data corresponding to the radio frequency identification device, and determining whether each piece of the device operation state data corresponding to the radio frequency identification device is used as corresponding target device operation state data may include the following steps:

the method comprises the steps that for each radio frequency identification device, for each piece of device operation state data in a plurality of pieces of device operation state data corresponding to the radio frequency identification device, target displacement information of a corresponding target part on the target device in a corresponding acquisition time period is determined based on target movement track information corresponding to the device operation state data, and the relative size relation between the target displacement information and preset displacement information is determined;

secondly, for each piece of the radio frequency identification equipment, determining the running state data of the equipment as the running state data of the target equipment if the target displacement information corresponding to the running state data of the equipment is greater than or equal to the preset displacement information for each piece of the running state data of the equipment corresponding to the radio frequency identification equipment;

third, for each piece of the radio frequency identification device, for each piece of the device operation state data corresponding to the radio frequency identification device, if the target displacement information corresponding to the device operation state data is smaller than the preset displacement information, calculating target straightness information of the target movement track information corresponding to the device operation state data (for example, a linear distance between a starting point and an end point corresponding to the target movement track information is divided by the target displacement information to obtain the corresponding target straightness information), and determining a size relationship between the target straightness information and the preset straightness information

Fourthly, when the target straightness information which is larger than the preset straightness information exists, determining that each piece of equipment running state data which does not correspond to the target straightness information which is larger than the preset straightness information is determined as target equipment running state data,

and fifthly, determining each piece of equipment operation state data corresponding to the target straightness information which is less than or equal to the preset straightness information as target equipment operation state data when the target straightness information which is less than or equal to the preset straightness information exists.

For example, in one possible implementation, step 300 may include the following steps:

the method comprises the following steps that firstly, each radio frequency identification device is sequentially used as a target radio frequency identification device, and recovery confirmation processing is carried out on screened running state data of each device corresponding to the target radio frequency identification device based on a preset recovery confirmation operation;

and step two, re-determining each piece of the recovered equipment operation state data as the target equipment operation state data corresponding to the radio frequency identification equipment.

Wherein the preset recovery confirmation operation comprises:

firstly, aiming at each piece of screened equipment running state data corresponding to the target radio frequency identification equipment, sequencing the running state data of the target equipment corresponding to each piece of other radio frequency identification equipment at the acquisition time corresponding to the equipment running state data based on the distance between the other radio frequency identification equipment and the target radio frequency identification equipment at the acquisition time corresponding to the equipment running state data to obtain a target data sequence corresponding to the equipment running state data;

secondly, for each target data sequence, determining whether to re-determine the device operation state data corresponding to the target data sequence as the target device operation state data corresponding to the target rfid device based on the target data sequence and a motion association relationship (for example, an industrial robot may be similar to human motion during motion, and a motion association relationship between different target portions may be similar to an association relationship between human bones, for example, when there is a certain positional relationship between A, B two portions, the portion C will be located at a certain position under normal conditions).

For example, in a possible implementation manner, the step of determining, for each target data sequence, whether to re-determine the device operation state data corresponding to the target data sequence as the target device operation state data corresponding to the target rfid device based on the target data sequence and a motion association relationship predetermined for each target portion of the target device in advance may include the following steps (for one target data sequence, the description is made):

firstly, in the target data sequence, determining a first piece of target equipment running state data, which is positioned between the current cycle and the previous adjacent piece of target equipment running state data (as mentioned above, the distance between corresponding target parts) is less than or equal to a preset equipment distance (which can be determined according to the distance between each target part of the target equipment in a normal state), as first equipment running state data, and determining the relative size relationship between the equipment distance between the first piece of equipment running state data and the next piece of target equipment running state data of the first piece of equipment running state data in the target data sequence and the preset equipment distance;

a second step of taking the next piece of target device operation state data as new first device operation state data when the device distance between the first device operation state data and the next piece of target device operation state data of the first device operation state data is greater than the preset device distance, or taking the first device operation state data as the first piece of target device operation state data determined by the current cycle when the device distance between the first device operation state data and the next piece of target device operation state data of the first device operation state data is less than or equal to the preset device distance;

thirdly, sequentially polling each piece of target equipment operation state data after the first piece of target equipment operation state data determined by the current cycle based on the first piece of target equipment operation state data determined by the current cycle;

fourthly, when the device distance between the currently polled target device running state data and the running state data of the adjacent previous target device is greater than the preset device distance and the device distance between each piece of running state data of the item target device in the currently polled target device running state data and the running state data of the adjacent previous target device in a specified number (which can be configured by a user according to an application scene) after the currently polled target device running state data is greater than the preset device distance, taking the currently polled target device running state data as the last piece of running state data of the target device determined by the current cycle;

fifthly, taking the first piece of target equipment running state data, which is after the last piece of target equipment running state data determined by the current cycle and has the equipment distance with the previous piece of adjacent target equipment running state data smaller than or equal to the preset equipment distance, as the first piece of target equipment running state data determined by the next current cycle;

sixthly, based on the first piece of target equipment running state data determined by the next current cycle, sequentially executing the third step, the fourth step and the fifth step again until the first piece of target equipment running state data determined by the next current cycle cannot be determined in the target data sequence;

step seven, aiming at the determined target equipment running state data between the first target equipment running state data determined by each group of corresponding current cycle and the last target equipment running state data determined by the current cycle, constructing a corresponding data set;

and eighthly, processing the target running state data included in the data set based on the motion association relationship (as described above) determined in advance for each target part of the target device to determine whether the corresponding device running state data can be calculated, and when the corresponding device running state data cannot be calculated, re-determining the device running state data as the target device running state data corresponding to the target radio frequency identification device, and when the corresponding device running state data can be calculated, determining not to re-determine the device running state data as the target device running state data corresponding to the target radio frequency identification device.

For example, in one possible implementation, step 20 may include the following steps:

the method comprises the steps that firstly, aiming at each radio frequency identification device, the running state data of the target devices corresponding to the radio frequency identification device are sequenced according to the sequence relation of corresponding acquisition time, and a data sequence corresponding to the radio frequency identification device is obtained;

and secondly, extracting the characteristics of each radio frequency identification device based on the data sequence corresponding to the radio frequency identification device to obtain the target running state characteristic information corresponding to the radio frequency identification device.

For example, in a possible implementation manner, the step of performing, for each of the radio frequency identification devices, feature extraction based on the data sequence corresponding to the radio frequency identification device to obtain target operation state feature information corresponding to the radio frequency identification device may include the following steps:

the method comprises the steps that firstly, for each radio frequency identification device, position information of a target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device is determined;

and secondly, sequencing corresponding position information for each radio frequency identification device based on the precedence relationship of each piece of target device operation state data in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as target operation state characteristic information corresponding to the radio frequency identification device.

For example, in another possible implementation, step 20 may include the following steps:

classifying the multiple pieces of target equipment running state data corresponding to the multiple radio frequency identification devices respectively (according to whether the corresponding acquisition time is the same or not) to obtain multiple classification data sets, wherein the acquisition time corresponding to any two pieces of target running state data belonging to the same classification data set is the same, the corresponding radio frequency identification devices are different, and the acquisition time corresponding to any two pieces of target running state data belonging to different classification data sets is different;

and secondly, performing feature extraction on a plurality of pieces of target equipment operating state data included in each classified data set to obtain target operating state feature information corresponding to the classified data set.

For example, in a possible implementation manner, the step of performing feature extraction on multiple pieces of target device operating state data included in each classification data set to obtain target operating state feature information corresponding to the classification data set may include the following steps:

firstly, aiming at each classification data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classification data set at the acquisition time corresponding to the classification data set;

and secondly, determining position relation information (relative position relation) among the target parts according to the position information of the target parts corresponding to the operation state data of each piece of target equipment in each classification data set, and taking the position relation information as target operation state characteristic information corresponding to the classification data set.

For example, in another possible implementation, step 20 may include the following steps:

the method comprises the steps that firstly, aiming at each radio frequency identification device, a plurality of pieces of target device running state data corresponding to the radio frequency identification device are sequenced according to the sequence relation of corresponding acquisition time to obtain a data sequence corresponding to the radio frequency identification device, and first feature extraction is carried out on the data sequence to obtain first target running state feature information corresponding to the radio frequency identification device;

secondly, classifying the running state data of the target devices respectively corresponding to the radio frequency identification devices to obtain a plurality of classification data sets, and performing second feature extraction on the running state data of the target devices included in each classification data set to obtain second target running state feature information corresponding to the classification data set, wherein the acquisition time corresponding to any two target running state data belonging to the same classification data set is the same, the radio frequency identification devices corresponding to any two target running state data belonging to the same classification data set are different, and the acquisition time corresponding to any two target running state data belonging to different classification data sets is different;

thirdly, determining the number of the radio frequency identification devices to obtain the corresponding number of the devices, and determining the number of the classified data sets to obtain the corresponding number of the sets;

a fourth step of determining a relative magnitude relationship between the number of devices and the number of sets, and determining a weight coefficient corresponding to the first target operation state characteristic information and a weight coefficient corresponding to the second target operation state characteristic information respectively based on the relative magnitude relationship (for example, the relative magnitude relationship between the number of devices and the number of sets, and the relative magnitude relationship between the weight coefficient corresponding to the first target operation state characteristic information and the weight coefficient corresponding to the second target operation state characteristic information are the same), wherein the weight coefficients are used for determining the corresponding importance degree when the operation state monitoring result of the target device is jointly determined based on the first target operation state characteristic information and the second target operation state characteristic information;

and fifthly, taking the first target running state characteristic information, the second target running state characteristic information, the weight coefficient corresponding to the first target running state characteristic information and the weight coefficient corresponding to the second target running state characteristic information as corresponding target running state characteristic information.

For example, in a possible implementation manner, the step of performing first feature extraction on the data sequence to obtain the first target operation state feature information corresponding to the radio frequency identification device may include the following steps:

the method comprises the steps that firstly, for each radio frequency identification device, position information of a target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device is determined;

and secondly, sequencing corresponding position information for each radio frequency identification device based on the precedence relationship of each piece of target device operation state data in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as first target operation state characteristic information corresponding to the radio frequency identification device.

Also, based on the above example, in a possible implementation manner, the step of determining the operation state monitoring result of the target device based on the target operation state feature information may include the following steps:

firstly, for each radio frequency identification device, calculating a matching degree between the first target running characteristic information corresponding to the radio frequency identification device and first running characteristic representation information preset for the radio frequency identification device (for example, the matching degree between corresponding motion tracks, the target device may be a production processing robot, and the first running characteristic representation information may be a corresponding characteristic motion track of a target part), and obtaining first characteristic matching degree information corresponding to the radio frequency identification device;

and secondly, performing fusion processing (such as product calculation) on the first feature matching degree information corresponding to each radio frequency identification device to obtain corresponding first feature matching degree fusion information.

For example, in a possible implementation manner, the step of performing second feature extraction on multiple pieces of target device operating state data included in each classification data set to obtain second target operating state feature information corresponding to the classification data set may include the following steps:

firstly, aiming at each classification data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classification data set at the acquisition time corresponding to the classification data set;

and secondly, determining position relation information among the target parts based on the position information of the target parts corresponding to each piece of target equipment operation state data included in each classification data set, and taking the position relation information as second target operation state characteristic information corresponding to the classification data set.

Also, based on the above example, in a possible implementation manner, the step of determining the operation state monitoring result of the target device based on the target operation state feature information may include the following steps:

firstly, aiming at each classification data set, calculating the matching degree between the second target operation characteristic information corresponding to the classification data set and second operation characteristic characterization information preset aiming at the classification data set to obtain second characteristic matching degree information corresponding to the classification data set;

and secondly, performing fusion processing (such as multiplication) on the second feature matching degree information corresponding to each classification data set to obtain corresponding second feature matching degree fusion information.

Based on this, in a possible implementation manner, the first feature matching degree fusion information and the second feature matching degree fusion information may be subjected to weighted summation calculation based on the determined weighting coefficients, and then, a weighted value obtained is compared with a set threshold value, so as to determine the operation state monitoring result, if the weighted value is greater than or equal to the threshold value, it may be determined that no abnormality exists, and if the weighted value is less than the threshold value, it may be determined that an abnormality exists.

The embodiment of the invention also provides a device for determining the running state of the equipment based on RFID identification (as shown in FIG. 3), which can be applied to the equipment state monitoring server. Wherein the device operation state determining means may include:

the system comprises an operating state data screening module, a position determining module and a processing module, wherein the operating state data screening module is used for screening and processing equipment operating state data which are acquired and sent by a plurality of radio frequency identification devices deployed aiming at target equipment respectively to obtain a plurality of pieces of target equipment operating state data corresponding to each radio frequency identification device, the radio frequency identification devices are deployed at a plurality of target positions of the target equipment respectively, and the equipment operating state data are used for representing the position states of the corresponding target positions at corresponding acquisition time;

a state feature information extraction module, configured to perform feature extraction on the multiple pieces of target device operation state data respectively corresponding to the multiple radio frequency identification devices to obtain corresponding target operation state feature information;

and the state monitoring result determining module is used for determining an operation state monitoring result of the target equipment based on the target operation state characteristic information, wherein the operation state monitoring result comprises that the operation of the target equipment is abnormal or that the operation of the target equipment is not abnormal.

In summary, according to the method for determining the operation state of the device based on the RFID identification provided by the present invention, after the operation state data of the multiple target devices corresponding to each RFID device are obtained through screening, the operation state data of the multiple target devices corresponding to the multiple RFID devices respectively may be subjected to feature extraction to obtain the corresponding feature information of the target operation state, and then the operation state monitoring result of the target device is determined based on the feature information of the target operation state.

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 (10)

1. An equipment operation state determining method based on RFID identification is applied to an equipment state monitoring server and comprises the following steps:

the method comprises the steps that on the basis of acquired equipment running state data which are acquired by a plurality of radio frequency identification devices deployed aiming at target equipment and respectively acquire and send running states of the target equipment, screening processing is carried out to obtain a plurality of pieces of target equipment running state data corresponding to each radio frequency identification device, wherein the radio frequency identification devices are respectively deployed at a plurality of target parts of the target equipment, and the equipment running state data are used for representing position states of the corresponding target parts at corresponding acquisition time;

performing feature extraction on the multiple pieces of target equipment running state data respectively corresponding to the multiple pieces of radio frequency identification equipment to obtain corresponding target running state feature information;

and determining an operation state monitoring result of the target equipment based on the target operation state characteristic information, wherein the operation state monitoring result comprises that the operation of the target equipment is abnormal or that the operation of the target equipment is not abnormal.

2. The method for determining an operating status of an apparatus based on RFID identification according to claim 1, wherein the step of performing feature extraction on the plurality of pieces of target apparatus operating status data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating status feature information includes:

for each radio frequency identification device, sequencing the running state data of the target devices corresponding to the radio frequency identification device according to the sequence relation of the corresponding acquisition time to obtain a data sequence corresponding to the radio frequency identification device;

and for each radio frequency identification device, performing feature extraction based on the data sequence corresponding to the radio frequency identification device to obtain target running state feature information corresponding to the radio frequency identification device.

3. The method for determining an operating status of a device based on RFID identification according to claim 2, wherein the step of performing feature extraction based on the data sequence corresponding to the RFID device for each RFID device to obtain the target operating status feature information corresponding to the RFID device comprises:

for each radio frequency identification device, determining position information of the target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device;

and for each radio frequency identification device, sequencing corresponding position information based on the precedence relationship of the running state data of each target device in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as the characteristic information of the running state of the target corresponding to the radio frequency identification device.

4. The method for determining an operating status of an apparatus based on RFID identification according to claim 1, wherein the step of performing feature extraction on the plurality of pieces of target apparatus operating status data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating status feature information includes:

classifying the multiple pieces of target equipment running state data corresponding to the multiple radio frequency identification devices respectively to obtain multiple classification data sets, wherein the acquisition time corresponding to any two pieces of target running state data belonging to the same classification data set is the same, the acquisition time corresponding to the radio frequency identification devices is different, and the acquisition time corresponding to any two pieces of target running state data belonging to different classification data sets is different;

and for each classified data set, performing feature extraction on a plurality of pieces of target equipment operating state data included in the classified data set to obtain target operating state feature information corresponding to the classified data set.

5. The method for determining the operating status of the device based on RFID identification according to claim 4, wherein the step of performing feature extraction on the plurality of pieces of target device operating status data included in each classified data set to obtain the target operating status feature information corresponding to the classified data set includes:

for each classified data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classified data set at the acquisition time corresponding to the classified data set;

and for each classification data set, determining position relation information among the target parts based on the position information of the target parts corresponding to each piece of target equipment operation state data included in the classification data set, and taking the position relation information as target operation state characteristic information corresponding to the classification data set.

6. The method for determining an operating status of an apparatus based on RFID identification according to claim 1, wherein the step of performing feature extraction on the plurality of pieces of target apparatus operating status data respectively corresponding to the plurality of RFID apparatuses to obtain corresponding target operating status feature information includes:

for each radio frequency identification device, sequencing the running state data of the target devices corresponding to the radio frequency identification device according to the sequence relation of the corresponding acquisition time to obtain a data sequence corresponding to the radio frequency identification device, and performing first feature extraction on the data sequence to obtain first target running state feature information corresponding to the radio frequency identification device;

classifying the multiple pieces of target equipment operating state data corresponding to the multiple radio frequency identification devices respectively to obtain multiple classification data sets, and performing second feature extraction on the multiple pieces of target equipment operating state data included in each classification data set to obtain second target operating state feature information corresponding to the classification data set, wherein the acquisition time corresponding to any two pieces of target operating state data belonging to the same classification data set is the same, the radio frequency identification devices corresponding to any two pieces of target operating state data belonging to the same classification data set are different, and the acquisition time corresponding to any two pieces of target operating state data belonging to different classification data sets is different;

determining the number of the radio frequency identification devices to obtain the corresponding number of the devices, and determining the number of the classified data sets to obtain the corresponding number of the sets;

determining a relative magnitude relation between the equipment number and the set number, and respectively determining a weight coefficient corresponding to the first target operation state characteristic information and a weight coefficient corresponding to the second target operation state characteristic information based on the relative magnitude relation, wherein the weight coefficients are used for determining corresponding importance degrees when the operation state monitoring result of the target equipment is jointly determined based on the first target operation state characteristic information and the second target operation state characteristic information;

and taking the first target running state characteristic information, the second target running state characteristic information, the weight coefficient corresponding to the first target running state characteristic information and the weight coefficient corresponding to the second target running state characteristic information as corresponding target running state characteristic information.

7. The method for determining an operation status of a device based on RFID identification as claimed in claim 6, wherein the step of performing the first feature extraction on the data sequence to obtain the feature information of the first target operation status corresponding to the RFID device comprises:

for each radio frequency identification device, determining position information of the target part corresponding to the radio frequency identification device at the acquisition time corresponding to the running state data of each target device corresponding to the radio frequency identification device;

and for each radio frequency identification device, sequencing corresponding position information based on the precedence relationship of the running state data of each target device in the data sequence corresponding to the radio frequency identification device to obtain corresponding position change information, and taking the position change information as first target running state characteristic information corresponding to the radio frequency identification device.

8. The RFID-identification-based apparatus operation state determination method according to claim 7, wherein the step of determining the operation state monitoring result of the target apparatus based on the target operation state characteristic information includes:

for each radio frequency identification device, calculating the matching degree between the first target operation characteristic information corresponding to the radio frequency identification device and first operation characteristic representation information preset for the radio frequency identification device to obtain first characteristic matching degree information corresponding to the radio frequency identification device;

and performing fusion processing on the first feature matching degree information corresponding to each radio frequency identification device to obtain corresponding first feature matching degree fusion information.

9. The method for determining device operation status based on RFID identification according to claim 6, wherein the step of performing second feature extraction on the multiple pieces of target device operation status data included in each classified data set to obtain second target operation status feature information corresponding to the classified data set includes:

for each classified data set, determining the position information of the target part corresponding to each piece of target equipment operation state data in the classified data set at the acquisition time corresponding to the classified data set;

and for each classification data set, determining position relation information between the target parts based on the position information of the target parts corresponding to each piece of target equipment operation state data included in the classification data set, and taking the position relation information as second target operation state characteristic information corresponding to the classification data set.

10. The RFID-identification-based apparatus operation state determination method according to claim 9, wherein the step of determining the operation state monitoring result of the target apparatus based on the target operation state characteristic information includes:

calculating the matching degree between the second target operation characteristic information corresponding to each classification data set and second operation characteristic characterization information preset for the classification data set aiming at each classification data set to obtain second characteristic matching degree information corresponding to the classification data set;

and performing fusion processing on the second feature matching degree information corresponding to each classified data set to obtain corresponding second feature matching degree fusion information.

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