CN113672286A - Assembly line evaluator, and moving track analysis processing device, method and equipment - Google Patents
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Abstract
The invention discloses a production line evaluator, a moving track analysis processing device, a method and equipment, belonging to the field of data processing; the pipeline evaluator comprises an accumulation unit, an evaluation unit and at least one pipeline cache node; the accumulation unit and the pipeline cache node are sequentially connected in series to form a pipeline structure, the accumulation unit accumulates at least one input datum and then sequentially flows the result to the downstream pipeline cache node for caching, and the evaluation unit is used for evaluating the accumulated data in the accumulation unit and the pipeline cache node. The invention can not only carry out analysis processing such as summation, averaging and the like on the displacement data in real time, but also reduce the influence on the subsequent processing result due to the fluctuation of the input data.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a production line evaluator, a movement track analysis processing device, a method and equipment.
Background
In the application field of object movement trajectory detection, such as trajectory detection of moving parts in human-computer interaction control equipment and industrial automatic control equipment, corresponding analysis and judgment are usually performed by detecting movement displacement data of an object in real time.
However, the displacement detection system in the prior art does not perform track determination, which results in coarse movement displacement data and poor effect, for example, for one-direction movement displacement processing, the displacement detection system usually includes movement displacement data in another direction. Alternatively, the processing of the movement displacement data is complicated, resulting in too slow a reaction time, causing a delay. Or, the moving displacement data has certain fluctuation, so that a larger error exists in the result of subsequent processing based on the moving displacement data.
Disclosure of Invention
Aiming at the problem that the prior art is easy to generate larger result errors when processing is carried out based on continuous data, the invention aims to provide a production line evaluator, a movement track analysis processing device, a movement track analysis processing method and a movement track analysis processing device.
In order to achieve the purpose, the technical scheme of the invention is as follows:
in a first aspect, the present invention provides a pipeline evaluator, comprising an accumulation unit, an evaluation unit, and at least one pipeline cache node; the accumulation unit and at least one pipeline cache node are sequentially connected in series to form a pipeline structure, wherein the accumulation unit is used for accumulating at least one acquired input data and flowing the accumulated data to a downstream pipeline cache node for caching after acquiring the accumulated data, and the pipeline cache node is used for receiving the accumulated data flowing from the accumulation unit positioned at the upstream or the pipeline cache node and synchronously flowing the currently cached accumulated data to the downstream pipeline cache node; the accumulation unit and at least one pipeline cache node are connected with the evaluation unit, and the evaluation unit is used for evaluating accumulated data in at least one pipeline cache node.
Preferably, the evaluation process includes one or more of summing and averaging.
Preferably, the evaluation unit performs averaging processing according to a formula avg/(K × N), where K is the number of accumulated data by the accumulation unit, N is the number of pipeline cache nodes, and sum is the sum of accumulated data in all of the pipeline cache nodes.
Further preferably, the evaluation unit is further configured to perform averaging processing according to a formula AVG ═ SUM/{ K × (N +1) }, where SUM is a SUM of accumulated data in the accumulation unit and accumulated data in all of the pipeline cache nodes.
In a second aspect, the present invention further provides a moving trajectory analysis processing apparatus, including a trajectory calculation module, a trajectory judgment module, an output module, and a plurality of pipeline evaluators as described above;
wherein a plurality of said pipeline evaluators are grouped into at least one group, each group including at least two of said pipeline evaluators;
each pipeline evaluator is connected with the track calculation module, and the track calculation module is used for calculating the magnitude relation of the evaluation results of the pipeline evaluators in the same group and calculating the proportional relation and the magnitude relation of the evaluation results of the pipeline evaluators in different groups in the same time period when the pipeline evaluators are divided into at least two groups;
the track judgment module is connected with the track calculation module and is used for obtaining a judgment result according to the calculation result of the track calculation module, and the judgment result is used for reflecting the movement condition information of the movement track;
the output module is connected with the track judgment module and the pipeline evaluator, and is used for processing the accumulated data or the evaluation result in the corresponding pipeline evaluator according to the judgment result and a preset output condition to obtain a processing result, and outputting one or more of the judgment result, the accumulated data or the evaluation result in the corresponding pipeline evaluator, and the processing result.
Preferably, the judgment result includes one or more of motion speed information and motion direction angle information, and the motion speed information includes one or more of accelerated motion, decelerated motion, uniform motion and short motion.
Preferably, the short motion comprises a button press and a button release.
In a third aspect, the present invention provides a method for analyzing and processing a movement trajectory, where the method is applied to the apparatus described above, and is characterized in that: the method comprises the following steps of,
s1, at least one group of pipeline evaluators respectively receives input data representing moving tracks in different directions;
s2, the track calculation module receives the evaluation result sent by each pipeline evaluator respectively, calculates the magnitude relation of the evaluation results of the pipeline evaluators in the same group, and calculates the proportional relation and the magnitude relation of the evaluation results of the pipeline evaluators in different groups in the same time period when the pipeline evaluators are configured with at least two groups, thereby obtaining the calculation result;
s3, the track judging module receives the calculation result sent by the track calculating module, so as to obtain the judgment result of the movement condition information for reflecting the movement track, wherein the movement condition information of the movement track comprises one or more of movement speed information in each direction and movement direction angle information in multiple directions, and the movement speed information comprises one or more of accelerated movement, decelerated movement, uniform movement and short-time movement;
and S4, the output module receives the judgment result of the track judgment module, processes the accumulated data or the evaluation result in the corresponding pipeline evaluator according to the judgment result and the preset output condition to obtain a processing result, and outputs one or more of the judgment result, the accumulated data or the evaluation result in the corresponding pipeline evaluator and the processing result.
Preferably, in S4, the preset output condition includes a unidirectional motion data output and a multidirectional motion data output;
when the preset output condition is unidirectional motion data output, judging whether the difference value between the evaluation results of the assembly line evaluator groups in the same time period exceeds a preset threshold value, if so, recording the evaluation result of the assembly line evaluator in the direction with the smaller evaluation result as zero, and outputting the evaluation result of the assembly line evaluator in the direction with the largest evaluation result;
and when the preset output condition is multi-directional motion data output, the output module respectively outputs evaluation results of the pipeline evaluator in each direction.
In a fourth aspect, the present invention provides an electronic device comprising a memory storing executable program code and a processor coupled to the memory; wherein the processor calls the executable program code stored in the memory to perform the method as described above.
In a fifth aspect, the invention provides a computer-readable storage medium, storing a computer program which, when executed by a processor, performs the method as described above.
By adopting the technical scheme, due to the arrangement of the evaluation unit, the accumulation unit and at least one pipeline cache node in the pipeline evaluator, a plurality of batches of input data acquired in different periods can be cached in each pipeline cache node, and the pipeline evaluator can perform summation and averaging processing, so that the influence of input data fluctuation on subsequent processing results can be reduced. In addition, the moving track analysis processing device built based on the pipeline evaluator can compare and proportion input data in multiple directions by using evaluation results output by the pipeline evaluator, further obtain moving condition information, acquire moving characteristics and output more real data.
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FIG. 1 is a diagram illustrating a pipeline evaluator according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a movement trajectory analysis processing apparatus according to a second embodiment of the present invention;
FIG. 3 is a flowchart of a moving trajectory analyzing and processing method according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus according to a fourth embodiment of the present invention.
In the figure, 1-a pipeline evaluator, 11-an evaluation unit, 12-an accumulation unit, 13-a pipeline cache node, 2-a track calculation module, 3-a track judgment module and 4-an output module.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. It should be noted that the description of the embodiments is provided to help understanding of the present invention, but the present invention is not limited thereto. In addition, the technical features involved in the embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "front", "rear", and the like indicate orientations or positional relationships based on structures shown in the drawings, and are only used for convenience in describing the present invention, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus, should not be construed as limiting the present invention.
In the technical scheme, the terms "first" and "second" are only used for referring to the same or similar structures or corresponding structures with similar functions, and are not used for ranking the importance of the structures, or comparing the sizes or other meanings.
In addition, unless expressly stated or limited otherwise, the terms "mounted" and "connected" are to be construed broadly, e.g., the connection may be a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two structures can be directly connected or indirectly connected through an intermediate medium, and the two structures can be communicated with each other. To those skilled in the art, the specific meanings of the above terms in the present invention can be understood in light of the present general concepts, in connection with the specific context of the scheme.
Example one
A pipeline evaluator 1, as shown in fig. 1, comprises an evaluation unit 11, an accumulation unit 12 and at least one pipeline cache node 13.
Wherein, the accumulation unit 12 and at least one (denoted by N, N ≧ 1) pipeline cache node 13 are connected in series in sequence to form a pipeline structure. The accumulation unit 12 is configured to accumulate at least one acquired input data (represented by K, K ≧ 1) to obtain an accumulated data, and flow the accumulated data to the downstream pipeline cache node 13 for caching after obtaining the accumulated data; accordingly, the pipeline cache node 13 is configured to receive the accumulated data flowing from the accumulation unit 12 located upstream or the pipeline cache node 13, and synchronously (i.e. simultaneously with receiving an accumulated data from upstream) flow the accumulated data currently buffered (if there is no accumulated data currently buffered, 0 is not sent or sent) to the pipeline cache node 13 located downstream.
The accumulation unit 12 and all the pipeline cache nodes 13 are connected to the evaluation unit 11, and the evaluation unit 11 is configured to evaluate accumulated data in all the pipeline cache nodes 13, for example, in this embodiment, the evaluation processing includes one or more of summing and averaging, where summing is to add accumulated data in all the pipeline cache nodes 13; the averaging is performed according to a formula avg/(K × N), where K is the number of accumulated data by the accumulation unit 12 (i.e., an accumulation operation is performed once every time K input data are received to obtain one accumulated data), N is the number of pipeline cache nodes 13, and sum is the sum of accumulated data in all pipeline cache nodes, i.e., the result of the summation process.
On the other hand, the evaluation unit 11 is also configured to evaluate the accumulated data in the accumulation unit 12 and the accumulated data in all the pipeline cache nodes 13. For example, when the evaluation unit 11 receives a signal that needs to be evaluated, the accumulation unit 12 also completes one accumulation calculation and obtains accumulated data (if the accumulation calculation condition is not met, the accumulation unit 12 waits for receiving enough K input data), at this time, the evaluation unit 11 adds the accumulated data in the accumulation unit 12 to the accumulated data in all the pipeline cache nodes 13 to obtain a summation result, and then obtains an averaging result according to a formula AVG ═ SUM/{ K (N +1) }, where SUM is the SUM of the accumulated data in the accumulation unit 12 and the accumulated data in all the pipeline cache nodes 13. The arrangement is such that the accumulation unit 12 can also be used as another form of pipeline cache node 13 to a certain extent, thereby reducing the total number requirement of the pipeline cache nodes 13 and reducing the cost.
The pipeline evaluator provided by the embodiment can accumulate a plurality of input data received in a plurality of periods and then buffer the accumulated input data in each pipeline buffer node 13, and perform summation and averaging processing through the evaluation unit 11, so that the accuracy and precision of subsequent processing on the basis of the summation result and the averaging result output by the evaluation unit 11 are more reliable compared with the traditional method of directly processing the input data.
Example two
A moving track analysis processing device, as shown in FIG. 2, includes a track calculating module 2, a track judging module 3, an output module 4, and a plurality of pipeline evaluators 1 provided in the first embodiment.
In this embodiment, the pipeline evaluators 1 are divided into at least one group, each group includes at least two pipeline evaluators 1, for example, in this embodiment, four pipeline evaluators 1 are provided, and each two pipeline evaluators 1 form one group, and each pipeline evaluator 1 includes one evaluation unit 11, one accumulation unit 12, and two pipeline cache nodes 13. For one upstream pipeline evaluator 1, it is configured that the accumulation unit 12 accumulates every third input data once (K ═ 3), i.e. the upstream pipeline evaluator 1 can usually buffer 6 input data at the same time (two accumulated data buffered in two pipeline buffer nodes 13 respectively, each accumulated data being the accumulated result of 3 input data, and when considering the accumulation unit 12, the accumulated result of at most 9 input data can be buffered); for the downstream pipeline evaluator 1, the accumulation unit 12 is configured to accumulate (K is 1) every 1 input data, and since the data received by the downstream pipeline evaluator 1 is the accumulated data of the upstream pipeline evaluation 1, the downstream pipeline evaluator 1 may also generally buffer 6 input data at the same time (two accumulated data buffered in two pipeline buffer nodes 13 respectively, each accumulated data is also the accumulated result of 3 input data, and when considering the accumulation unit 12, the accumulated result of at most 9 input data may be buffered).
Or in another embodiment, when both K and N configuring two pipeline evaluators in the same group are the same, it is sufficient that the input data obtained by setting the pipeline evaluators 1 in the same group are sequential in time, for example, 6 input data obtained by two pipeline evaluators 1 in the same group alternately may be distributed by a module disposed at the front end when in use, or two pipeline evaluators 1 in the same group are communicatively connected to each other, thereby obtaining the case where the other receives the input data.
Wherein, the two groups are respectively used for receiving input data representing movement tracks in different directions, such as X-direction movement and Y-direction movement in a plane, or forward direction and reverse direction in rotation, and the like. Of course, in another embodiment, only one set may be configured, i.e., one-way motion in planar motion or one-way rotation in rotation, etc.
In this embodiment, each of the pipeline evaluators 1 is connected to the trace calculation module 2, and the trace calculation module 2 is configured to calculate a magnitude relationship between evaluation results of two pipeline evaluators 1 located in the same group, and calculate a proportional relationship and a magnitude relationship between evaluation results of pipeline evaluators 1 located in different groups in the same time period. It will be appreciated that for two pipeline evaluators 1 in the same group (in a certain direction), the accumulated data in each pipeline cache node 13 is equal (the accumulated result of the same amount of input data), so that comparing the magnitudes of the evaluation results of the two pipeline evaluators 1 can know the moving characteristics in the direction, such as acceleration or deceleration; in the same way, in the same time period, the motion condition of the object on the whole movement can be known only by comparing the sizes and the proportional relations of the pipeline evaluators 1 corresponding to different groups (in different directions).
In this embodiment, the trajectory determination module 3 is connected to the trajectory calculation module 2, and the trajectory determination module 3 is configured to obtain a determination result according to a calculation result of the trajectory calculation module 2, where the determination result is used to reflect movement condition information of a movement trajectory; the moving condition information of the moving track comprises one or more of motion speed information and motion direction angle information, and the motion speed information comprises one or more of accelerated motion, decelerated motion, uniform motion and short-time motion, wherein the short-time motion comprises button pressing and button releasing.
It can be understood that for some application scenarios, the motion state of the object needs to be intuitively known, and therefore, the motion state of the object can be determined by determining the calculation result of the trajectory calculation module 2 through the trajectory determination module 3, that is, the movement condition information of the movement trajectory is reflected. For example, the evaluation results of two pipeline evaluators 1 in the same group are continuously increased in time sequence, which indicates that the object is in an acceleration motion state in the direction, and conversely, the object is in a deceleration motion state, and if the evaluation results do not change along with the time sequence, the object is in a uniform motion state in the direction; for another example, when an object in a state of unidirectional motion is found that the pipeline evaluator 1 receives input data in multiple directions (i.e. multiple groups), the smaller evaluation result is determined as noise, and the larger evaluation result is determined as real data by comparing the evaluation results; for another example, in a scenario of detecting a key motion, if the rule in the input data received by the pipeline evaluator 1 in the same group is 0-acceleration-deceleration-0, it is determined as a short movement, and such a short movement can be determined as a button pressing and button releasing operation in practical applications, that is, when "0-movement" is found, it can be determined as a button pressing operation, and when "movement-0" occurs, it can be determined as a button releasing operation.
In this embodiment, the output module 4 is connected to the trajectory determination module 3 and the pipeline evaluator 1, and the output module 4 can directly output the determination result on the one hand, so as to reflect the movement condition information of the movement trajectory of the object, such as acceleration, deceleration, button operation, button releasing operation, and the like;
on the other hand, the output module 4 is further configured to process the accumulated data or the evaluation result in the corresponding pipeline evaluator 1 according to the determination result and the preset output condition to obtain a processing result, and output one or more of the accumulated data or the evaluation result and the processing result in the corresponding pipeline evaluator 1.
Wherein the preset output condition includes one-way motion data output and multi-way motion data output, and:
when the preset output condition is that the unidirectional motion data is output, the output module 4 judges whether the difference between the evaluation results of each group of pipeline evaluators in the same time period exceeds a preset threshold, if so, the evaluation result of the pipeline evaluator in the direction with a smaller evaluation result is recorded as zero (that is, the accumulated data or the evaluation result in the corresponding pipeline evaluator 1 is processed), and the evaluation result of the pipeline evaluator in the direction with the largest evaluation result is output; the function of the method is to filter out interference noise in other directions, so that the subsequent processing result is more accurate; furthermore, it is understood that the output module 4 may also output some accumulated data (for example, chronologically latest data) buffered in the pipeline evaluator 1 in the direction in which the evaluation result is largest.
And when the preset output condition is multi-directional motion data output, the output module 4 outputs the evaluation results of the pipeline evaluator in each direction respectively.
EXAMPLE III
A moving track analyzing and processing method is implemented by the apparatus in the second embodiment, as shown in fig. 3, and includes the following steps:
step S1, at least two groups of pipeline evaluators respectively receive input data representing moving tracks in different directions;
step S2, the track calculation module receives the evaluation result sent by each pipeline evaluator respectively, and calculates the magnitude relation of the evaluation result of each pipeline evaluator in the same group and the proportional relation and the magnitude relation of the evaluation result of the pipeline evaluators in different groups in the same time period, thereby obtaining the calculation result;
step S3, the track judgment module receives the calculation result sent by the track calculation module and obtains the judgment result used for reflecting the movement condition information of the movement track, the movement condition information of the movement track comprises one or more of the movement speed information in each direction and the movement direction angle information in a plurality of directions, and the movement speed information comprises one or more of accelerated movement, decelerated movement, uniform movement and short actuation movement;
and step S4, the output module receives the judgment result of the track judgment module, processes the accumulated data or the evaluation result in the corresponding pipeline evaluator according to the judgment result and the preset output condition to obtain a processing result, and outputs one or more of the judgment result, the accumulated data or the evaluation result in the corresponding pipeline evaluator and the processing result.
In step S4, the preset output conditions include unidirectional motion data output and multidirectional motion data output;
when the preset output condition is unidirectional motion data output, judging whether the difference value between the evaluation results of the assembly line evaluator groups in the same time period exceeds a preset threshold value, if so, recording the evaluation result of the assembly line evaluator in the direction with the smaller evaluation result as zero, and outputting the evaluation result of the assembly line evaluator in the direction with the largest evaluation result;
and when the preset output condition is that the multidirectional motion data is output, the output module respectively outputs evaluation results of the pipeline evaluator in each direction.
Example four
An electronic device, as shown in fig. 4, includes a memory storing executable program code and a processor coupled to the memory; and the processor calls the executable program codes stored in the memory to execute the method disclosed by the third embodiment.
EXAMPLE five
A computer storage medium, in which a computer program is stored, which, when executed by a processor, performs the method disclosed in the third embodiment.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. It will be apparent to those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, and the scope of protection is still within the scope of the invention.
Claims (10)
1. A pipelined evaluator, wherein: the system comprises an accumulation unit, an evaluation unit and at least one pipeline cache node; the accumulation unit and at least one pipeline cache node are sequentially connected in series to form a pipeline structure, wherein the accumulation unit is used for accumulating at least one acquired input data and flowing the accumulated data to a downstream pipeline cache node for caching after acquiring the accumulated data, and the pipeline cache node is used for receiving the accumulated data flowing from the accumulation unit positioned at the upstream or the pipeline cache node and synchronously flowing the currently cached accumulated data to the downstream pipeline cache node; the accumulation unit and at least one pipeline cache node are connected with the evaluation unit, and the evaluation unit is used for evaluating accumulated data in at least one pipeline cache node.
2. The pipeline evaluator of claim 1, wherein: the evaluation process comprises one or more of summing and averaging.
3. The pipeline evaluator of claim 2, wherein: the evaluation unit performs averaging processing according to a formula avg/(K × N), where K is the number of accumulated data by the accumulation unit, N is the number of pipeline cache nodes, and sum is the sum of accumulated data in all the pipeline cache nodes.
4. The pipeline evaluator of claim 3, wherein: the evaluation unit is further configured to perform averaging processing according to a formula AVG ═ SUM/{ K × (N +1) }, where SUM is a SUM of accumulated data in the accumulation unit and accumulated data in all the pipeline cache nodes.
5. A movement trajectory analysis processing device is characterized in that: comprising a trace calculation module, a trace determination module, an output module, and a plurality of pipeline evaluators according to any of claims 1-4;
wherein a plurality of said pipeline evaluators are grouped into at least one group, each group including at least two of said pipeline evaluators;
each pipeline evaluator is connected with the track calculation module, and the track calculation module is used for calculating the magnitude relation of the evaluation results of the pipeline evaluators in the same group and calculating the proportional relation and the magnitude relation of the evaluation results of the pipeline evaluators in different groups in the same time period when the pipeline evaluators are divided into at least two groups;
the track judgment module is connected with the track calculation module and is used for obtaining a judgment result according to the calculation result of the track calculation module, and the judgment result is used for reflecting the movement condition information of the movement track;
the output module is connected with the track judgment module and the pipeline evaluator, and is used for processing the accumulated data or the evaluation result in the corresponding pipeline evaluator according to the judgment result and a preset output condition to obtain a processing result, and outputting one or more of the judgment result, the accumulated data or the evaluation result in the corresponding pipeline evaluator, and the processing result.
6. The apparatus of claim 5, wherein: the judgment result comprises one or more of motion speed information and motion direction angle information, and the motion speed information comprises one or more of accelerated motion, decelerated motion, uniform motion and short-time motion.
7. The apparatus of claim 6, wherein: the short motion includes a button press and a button release.
8. A moving trajectory analysis processing method applied to the apparatus according to any one of claims 5 to 7, wherein: the method comprises the following steps of,
s1, at least one group of pipeline evaluators respectively receives input data representing moving tracks in different directions;
s2, the track calculation module receives the evaluation result sent by each pipeline evaluator respectively, calculates the magnitude relation of the evaluation results of the pipeline evaluators in the same group, and calculates the proportional relation and the magnitude relation of the evaluation results of the pipeline evaluators in different groups in the same time period when the pipeline evaluators are configured with at least two groups, thereby obtaining the calculation result;
s3, the track judging module receives the calculation result sent by the track calculating module, so as to obtain the judgment result of the movement condition information for reflecting the movement track, wherein the movement condition information of the movement track comprises one or more of movement speed information in each direction and movement direction angle information in multiple directions, and the movement speed information comprises one or more of accelerated movement, decelerated movement, uniform movement and short-time movement;
and S4, the output module receives the judgment result of the track judgment module, processes the accumulated data or the evaluation result in the corresponding pipeline evaluator according to the judgment result and the preset output condition to obtain a processing result, and outputs one or more of the judgment result, the accumulated data or the evaluation result in the corresponding pipeline evaluator and the processing result.
9. The method of claim 8, wherein: in S4, the preset output condition includes a unidirectional motion data output and a multidirectional motion data output;
when the preset output condition is unidirectional motion data output, judging whether the difference value between the evaluation results of the assembly line evaluator groups in the same time period exceeds a preset threshold value, if so, recording the evaluation result of the assembly line evaluator in the direction with the smaller evaluation result as zero, and outputting the evaluation result of the assembly line evaluator in the direction with the largest evaluation result;
and when the preset output condition is multi-directional motion data output, the output module respectively outputs evaluation results of the pipeline evaluator in each direction.
10. An electronic device, characterized in that: comprising a memory storing executable program code and a processor coupled to the memory; wherein the processor calls executable program code stored in the memory to perform the method of claim 8 or 9.
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