CN112246681A - Detection data processing method and device and product detection equipment - Google Patents
Detection data processing method and device and product detection equipment Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
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- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B07—SEPARATING SOLIDS FROM SOLIDS; SORTING
- B07C—POSTAL SORTING; SORTING INDIVIDUAL ARTICLES, OR BULK MATERIAL FIT TO BE SORTED PIECE-MEAL, e.g. BY PICKING
- B07C5/00—Sorting according to a characteristic or feature of the articles or material being sorted, e.g. by control effected by devices which detect or measure such characteristic or feature; Sorting by manually actuated devices, e.g. switches
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Abstract
The invention provides a detection data processing method, a device and product detection equipment, wherein the product detection equipment applied by the method comprises a plurality of detection stations, each detection station respectively detects each preset performance index of a product to be detected according to a preset detection sequence, and the method comprises the following steps: acquiring current station detection data of a current detection station and a historical station data result stored in a previous detection station, wherein the historical station data result is detection data corresponding to all detection stations which finish detection of a product to be detected in a preset detection sequence; generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result; and updating the historical work station data result stored in the current detection work station into the current work station data result. The condition that the stored detection data cannot correspond to the product accurately due to the fact that the data are transferred from the detection station is avoided, an accurate data base is provided for product detection, and therefore the accuracy of the detection result is improved.
Description
Technical Field
The invention relates to the technical field of product detection, in particular to a detection data processing method and device and product detection equipment.
Background
Generally, if a product has some flaws in appearance after being manufactured or does not meet the originally set specification, the product is called an NG product, i.e. a defective product, and therefore, the NG detection is often required before the product is used, i.e. whether the product meets the use requirement is detected. Taking an air conditioner as an example, for the air conditioner, a capacitor is an indispensable part, NG detection needs to be carried out on a capacitor product in the production process of the air conditioner, and the capacitor product can be installed next step only if the detection result is an OK product, so that the influence of the unqualified NG product on the performance of the air conditioner is avoided.
Because traditional manual detection has been unable to satisfy the demand of present air conditioner production and extravagant manpower. Therefore, the automatic detection equipment aims at detection, the efficiency is higher, and because the detection items of a certain product are often multiple, in the actual production process, the automatic detection equipment is usually provided with a plurality of detection stations, each detection station corresponds to one index of a detected product, after the product is detected by all the detection stations, the product can be transferred to a blanking station to carry out blanking classification according to the detection result, namely, if the detected product is an OK product, the subsequent production operation is directly carried out, and if the detected product is an NG product, the product is moved out of the production line. Because the product needs to finish the detection of all detection stations and then can judge whether the product is an NG product or an OK product (qualified product) according to the detection data of each detection station, the detection equipment is provided with a plurality of detection stations, in order to improve the detection rate, the detection of each station of the product is usually finished in a station rotating mode, products are synchronously detected at other stations in the current product detection process, in addition, the overstock of products detected and finished on the blanking station is avoided, the product is required to obtain a judgment result immediately after the detection is finished, the corresponding relation between the detection data of the detection stations and the products is easily disordered, and the accuracy of the final OK product and the NG product judgment of the detection equipment is further influenced.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method and an apparatus for processing detection data, and a product detection device, so as to overcome a problem in the prior art that detection data of each detection station of the product detection device is prone to be confused with a corresponding relationship between products, and thus accuracy of a final detection result is affected.
According to a first aspect, an embodiment of the present invention provides a detection data processing method, which is applied to product detection equipment, where the product detection equipment includes multiple detection stations, and each detection station detects each preset performance index of a product to be detected according to a preset detection sequence, where the detection data processing method includes:
acquiring current station detection data of a current detection station and a historical station data result stored in a previous detection station, wherein the historical station data result is detection data corresponding to all detection stations which have finished detecting a product to be detected currently in the preset detection sequence;
generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result;
and updating the historical work station data result stored in the current detection work station into the current work station data result.
Optionally, the product detection device further includes a blanking station, and when the product to be detected passes through detection of all detection stations, the product is transferred to the blanking station for blanking classification, and the detection data processing method further includes:
monitoring whether a new product to be detected exists in the blanking station;
when a new product to be detected exists in the blanking stations, obtaining a historical station data result stored in the last detection station in the preset detection sequence;
and generating a detection result corresponding to the new product to be detected according to the historical station data result stored in the last detection station.
Optionally, the current detection data includes: and if the product is qualified and unqualified, generating a detection result corresponding to the new product to be detected according to the historical station data result stored in the last detection station, wherein the detection result comprises the following steps:
judging whether the historical station data stored in the last detection station contains unqualified detection data;
and when the historical station data stored in the last detection station contains unqualified detection data, judging that the new product to be detected is an NG product.
Optionally, the detection data processing method further includes:
acquiring a detection station corresponding to unqualified detection data;
and classifying the NG products according to the preset performance indexes corresponding to the detection stations.
Optionally, when the current detection station is the first detection station in the preset detection sequence, the historical station data result stored in the first detection station is updated to the current station detection data of the first detection station.
Optionally, when the historical workstation data stored in the last inspection workstation does not contain unqualified inspection data, determining that the new product to be inspected is an OK product.
Optionally, the detection data processing method further includes:
and clearing the current station detection data of the current detection station.
According to a second aspect, an embodiment of the present invention provides a detection data processing apparatus, which is applied to product detection equipment, where the product detection equipment includes a plurality of detection stations, and each detection station detects each preset performance index of a product to be detected according to a preset detection sequence, and the detection data processing apparatus includes:
the data acquisition module is used for acquiring current station detection data of a current detection station and a historical station data result stored in a previous detection station, wherein the historical station data result is detection data corresponding to all detection stations which have finished detecting a product to be detected currently in the preset detection sequence;
the data processing module is used for generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result;
and the data updating module is used for updating the historical work station data result stored in the current detection work station into the current work station data result.
According to a third aspect, an embodiment of the present invention provides a product detection apparatus, including: unloading station and a plurality of detection station, each detection station is treated each preset performance index that detects the product according to predetermineeing the detection order respectively and is detected, treat to detect the product and detect the back through the detection of all detection stations, shift to the unloading station and carry out the unloading classification, product check out test set still includes:
a memory and a processor, the memory and the processor being communicatively coupled to each other, the memory having stored therein computer instructions, the processor being configured to execute the computer instructions to perform the method of the first aspect and any one of the alternative embodiments thereof.
According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to perform the method of the first aspect, or any one of its alternative embodiments.
The technical scheme of the invention has the following advantages:
the detection data processing method and the detection data processing device provided by the embodiment of the invention are applied to product detection equipment, the product detection equipment comprises a plurality of detection stations, each detection station respectively detects each preset performance index of a product to be detected according to a preset detection sequence, and the detection data processing method comprises the following steps: the method comprises the steps of obtaining current station detection data of a current detection station and a historical station data result stored in a previous detection station, generating a current station data result corresponding to the current detection station, and replacing the historical station data result stored in the current station with the current station data result. Therefore, by the processing mode of the detection data, under the condition that the detection rate is not required to be reduced, the data can be guaranteed to be transferred along with the transfer of the detection stations in the transfer process, the influence of simultaneously detecting a plurality of products by different detection stations is avoided, the condition that the stored detection data cannot accurately correspond to the products due to the transfer of the detection stations is avoided, an accurate data base is provided for product detection, and the accuracy of the detection result is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a method for processing test data according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an exemplary operation of an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a detection data processing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a product detection device 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 some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The technical features mentioned in the different embodiments of the invention described below can be combined with each other as long as they do not conflict with each other.
Generally, if a product has some flaws in appearance after being manufactured or does not meet the originally set specification, the product is called an NG product, i.e. a defective product, and therefore, the NG detection is often required before the product is used, i.e. whether the product meets the use requirement is detected. Taking an air conditioner as an example, for the air conditioner, a capacitor is an indispensable part, NG detection needs to be carried out on a capacitor product in the production process of the air conditioner, and the capacitor product can be installed next step only if the detection result is an OK product, so that the influence of the unqualified NG product on the performance of the air conditioner is avoided. In actual production, the capacitor installed in the air conditioner can be installed only after being detected to be qualified by the appearance detection equipment.
The embodiment of the invention provides a detection data processing method, which is applied to product detection equipment, wherein the product detection equipment comprises a plurality of detection stations, each detection station detects each preset performance index of a product to be detected according to a preset detection sequence, and it needs to be noted that the embodiment of the invention takes product detection equipment as appearance detection equipment as an example for description. Specifically, in the embodiment of the present invention, the appearance detection device has five detection stations, and the preset performance indexes include glue shortage, cracks, pressure damage, foreign matters and scratches, and the five detection stations respectively detect whether the capacitor product has a preset detection sequence of glue shortage, cracks, pressure damage, foreign matters and scratches. How to realize the corresponding detection function of each detection station is the prior art, and specific reference is made to the related description of the external detection equipment in the prior art, which is not repeated herein. As shown in fig. 1, the detection data processing method specifically includes the following steps:
step S101: and acquiring the current station detection data of the current detection station and the historical station data result stored in the previous detection station. Specifically, after each detection station is detected according to the performance index set by the detection station, detection data can be directly obtained on the station, and if the performance index is the existence of the glue shortage, the detection data in the embodiment of the invention comprises a qualified result and an unqualified result, wherein the qualified result indicates that the glue shortage problem does not exist in the capacitor, and the unqualified result indicates that the glue shortage problem exists in the capacitor. Of course, in practical applications, the detection data may also be adjusted according to the specific detection type of the product detection device and the type of the preset performance index, for example, the detection data may also be specific numerical index data, and the present invention is not limited thereto.
Further, in order to facilitate the judgment of the subsequent detection result and improve the processing speed of the detection data, in the embodiment of the present invention, the detection data corresponding to each detection station is represented by binary numbers, where 1 represents pass and 0 represents fail, for example: assuming that the current detection station is the 5 th station, and the result of detecting whether the capacitor is scratched is yes, the current station detection data of the current detection station is represented as 0, and for example: assuming that the current detection station is the 4 th station, and the result of detecting whether the capacitor has the foreign matter is no, the current station detection data of the current detection station is represented as 1. In the embodiment of the invention, the historical station data result is represented by a multi-bit binary number, specifically, the total number of bits of the binary number is consistent with the number of the detection stations, and is represented by a 5-bit binary number in the embodiment of the invention, wherein each bit of the binary number represents the detection data of the preset detection sequence corresponding to the preset performance index, and the initial default value of each bit of the binary number is 0, which indicates that the corresponding detection station does not start to detect.
In practical application, if the current detection station is the first detection station in the preset detection sequence, because the current detection station is the first detection station to start detection, and other detection stations do not start detection, the current historical station data result is the detection data of the capacitor product detected in the previous round, so that the historical station data result stored in the first detection station is updated to the current station detection data of the first detection station, namely to the current station detection data corresponding to the current station detection data, and when the appearance detection equipment is used for the first time, the initial value of the historical station data result stored in all the detection stations is 00000.
Step S102: and generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result. Specifically, in the embodiment of the present invention, assuming that the current detection station is the 5 th station, the corresponding current station detection data is 1, and the historical station data result of the 4 th station is 01111, the current detection station data result and the value on the corresponding binary position in the historical station data result of the 4 th station are ored, so that the current station data result is 11111.
Step S103: and updating the historical work station data result stored in the current detection work station into the current work station data result. At this time, since the historical station data stored in the 5 th station is still the detection data of the previous capacitor, the stored historical station data is replaced by the current station data result corresponding to the current detection capacitor. At this time, since the 5 th station is the last station for detecting the capacitor currently, the current station data result is the final detection result of the capacitor, and it can be directly determined whether the currently detected capacitor belongs to an NG product or an OK product according to the detection result. Therefore, the accuracy of the detection result is guaranteed, the data processing time is greatly saved, and the detection efficiency of the appearance detection equipment is improved.
Specifically, in an embodiment, the appearance detection device further includes a blanking station, and when the product to be detected passes through detection of all detection stations, the product is transferred to the blanking station for blanking classification, that is, whether the capacitor product belongs to an OK product or an NG product is distinguished, and if the capacitor product is an NG product, the NG product is further classified according to the reason of causing the product to be unqualified, so as to improve the production process of the capacitor product or determine related responsibility of causing the product to be abnormal, and the like. The detection data processing method specifically comprises the following steps:
step S104: and monitoring whether a new product to be detected exists at the blanking station. Specifically, the capacitor product to be detected needs to be automatically transferred to the blanking station after detection of 5 detection stations is completed according to a preset detection sequence, so that whether detection of the product to be detected is completed or not can be judged by monitoring whether a new mode of detecting the product to be detected exists in the blanking station or not.
Step S105: when a new product to be detected exists in the blanking station, a historical station data result stored in the last detection station in a preset detection sequence is obtained. Specifically, if a new product to be detected exists in the blanking station, it is indicated that the new product to be detected has completed detection of all detection stations, and the historical station data result updated in the 5 th station includes detection data of all 5 detection stations. Therefore, the final detection result of the product to be detected can be obtained through the historical work data.
Step S106: and generating a new detection result corresponding to the product to be detected according to the historical station data result stored in the last detection station.
Specifically, in an embodiment, the step S106 specifically includes the following steps:
step S201: and judging whether the historical station data stored in the last detection station contains unqualified detection data, and when the historical station data stored in the last detection station does not contain unqualified detection data, namely the historical station data result of the 5 th station is 111111 or the converted value is 31, judging that a new product to be detected is an OK product, wherein the OK product can be directly used for subsequent air conditioner production.
Step S202: and when the historical station data stored in the last detection station contains unqualified detection data, judging that the new product to be detected is an NG product. In practical application, if the result of the historical station data of the 5 th station is not 111111 or the result of the conversion into decimal number is less than 31, the new product to be detected is judged to be an NG product.
Step S107: and acquiring a detection station corresponding to the unqualified detection data. Specifically, the detection station corresponding to the unqualified detection data can be determined according to the position of 0 in the historical station data result of the 5 th station, and if the historical station data result is 11110, it is described that the detection station corresponding to the unqualified detection data is the 1 st station, that is, the problem of glue shortage exists in the detected capacitor product, and if the historical station data result is 11011, it is described that the detection station corresponding to the unqualified detection data is the 3 rd station, that is, the problem of crushing of the detected capacitor product, and the like.
Step S108: and classifying the NG products according to the preset performance indexes corresponding to the detection stations. Specifically, the NG products can be classified according to the preset performance indexes corresponding to the detected unqualified stations, for example: and classifying all NG products with the problem of glue shortage into one class, classifying all NG products with the problem of pressure damage into one class and the like. It should be noted that, in practical applications, there may be a plurality of situations where the capacitive product to be detected is not qualified, for example: if the historical station data result can be 11010, the problem that the capacitor product simultaneously stores the glue shortage and the crush damage is shown, at this time, the NG product can be classified separately, or classified into the classification corresponding to the glue shortage or the crush damage according to a preset rule, and the invention is not limited to this.
By executing the steps, the detection data of the product to be detected and the processing result of the data can be transmitted in a very short time, the accuracy of the final detection result is ensured, and the misjudgment condition caused by the motion control of the appearance detection equipment can be effectively eliminated. The device can automatically classify and cooperate with the OK station and the NG station to carry out NG and OK related processing after automatic detection is finished under the condition that the detection speed is not reduced. The abnormal type of the NG article and the OK article need not to be distinguished again manually. In addition, the detection data processing method provided by the embodiment of the invention can also ensure that data is transferred along with the transfer of the detection station in the transfer process, namely the historical station data result stored on the detection station on which the current product to be detected is the detection result of the current product to be detected, for example, the current detected product is at the third detection station, and the historical station data result on the third detection station is all the detection data of the product at the first station, the second station and the third station.
Specifically, in an embodiment, in order to further avoid confusion of a data relationship due to an influence of current detection data in a current detection workstation, after the historical workstation data result stored in the current detection workstation is updated to the current workstation data result, the detection data processing method further includes: and clearing the current station detection data of the current detection station. Therefore, after the current station detection data is recorded in the historical station data result stored in the current detection station, the current station detection data is immediately cleared, and the next product to be detected is continuously detected to generate the detection data of the next product to be detected, so that the disorder of the current station storage data is avoided, and the accuracy of the final detection result is further ensured.
The following describes the detection data processing method provided by the embodiment of the present invention in detail with reference to specific application examples.
As shown in fig. 2, which is a schematic diagram of a working process of a specific application example of an embodiment of the present invention, after the device is started, the divider operates, and rotates one station according to a predetermined rotation rate and a predetermined rotation direction through the divider to obtain each product to be detected, all the products to be detected are sequentially placed in the first detection station to be detected, after detection of all the 5 detection stations is completed, the products to be detected are automatically transferred to the blanking station to perform blanking classification, and the determination of whether there is a material in fig. 2 is to determine whether there is a new product to be detected.
The method is characterized in that 5 stations are arranged on the current appearance detection equipment, the blanking position is not on the 5 stations, a product can be transferred to the blanking station to judge the blanking classification of OK and NG after the 5 stations are tested, at the moment, the result of the product on the 5 stations is required to be obtained when each product is detected on the 5 stations, and the detection result of all the stations in front is also required, in order to improve the detection efficiency, one product cannot be put on the 5 stations to be detected and then put on the second product, the continuous detection is required to meet the requirement of automatic detection equipment, under the condition, the data is required to be ensured to be complete and reliable, if the product is operated according to the data of the 1 station after the test is finished and then the data updating of 2 stations is carried out, the data detected by the 2 stations on the first station at the moment can be found to be lost, since the data of the 1-position is updated to the data of the product currently at the 1-position, the data result is confused when the data is taken to be combined with the 2-position. However, if the data of the last workstation is updated first, in this application example, the last workstation is 5 workstations, and all result data is retained before the result data update. Simply, the result data is the last data as long as i have not yet followed up. If at this time I go to process the result data of 5 stations, the result data is actually the data which is equivalent to the data of I processing the product at the current blanking station (the fifth station is the blanking station after rotating). If the data of the fourth station is processed at this time, the result data after the detection of the product on the current 5 stations at the 4 stations is finished is actually processed, then the new data obtained by combining the data with the data of the test result obtained by the current 5 stations at this time is exactly all the result data of the product on the current 5 stations, for example, the data of the 4 stations at this time is binary 01111, the test result of the 5 stations is 1, the result after the update is 11111, and the result is all the detection results of the previous 5 stations obtained after the detection of the product on the current 5 stations at the last 5 stations is finished. By analogy, the result data of the 4 stations are updated to obtain the data of the first 4 stations, the data of the 3 stations are updated after the updating is finished, then the data of the 2 stations are updated, and finally the data of the 1 station are stored completely. Finally, whether the five bit data are OK or NG can be obtained only by judging before updating the data, for example, if the five bit data are OK or OK in binary 11111 or decimal 31, and if the five bit data are NG, the NG detected by which station belongs can be accurately analyzed.
The detection data processing method provided by the embodiment of the invention has the advantages that the result of the detected product can be transferred along with the transfer of the detection station, no error occurs when the analysis and interpretation are needed, the last updated information of which position of the product is all the results of the current detection of the product, the condition of disordered information results can not occur, the logic is clear, and the accuracy of the detection system is improved. Meanwhile, the operation required to be processed by the program is also simple, and the condition of high efficiency of the whole equipment is met, because in the equipment, the time is very precious, but the data is required to be processed only after the detection is finished, so all the data can be processed only in the short time in the rotating process of the divider. The method provided by the embodiment of the invention can be used for easily solving the problems.
By executing the steps S101 to S108, the detection data processing method provided in the embodiment of the present invention generates the current station data result corresponding to the current detection station by obtaining the current station detection data of the current detection station and the historical station data result stored in the previous detection station, and then replaces the historical station data result stored in the current station with the current station data result. Therefore, by the processing mode of the detection data, under the condition that the detection rate is not required to be reduced, the data can be guaranteed to be transferred along with the transfer of the detection stations in the transfer process, the influence of simultaneously detecting a plurality of products by different detection stations is avoided, the condition that the stored detection data cannot accurately correspond to the products due to the transfer of the detection stations is avoided, an accurate data base is provided for product detection, and the accuracy of the detection result is improved.
An embodiment of the present invention further provides a detection data processing apparatus, which is applied to a product detection device, where the product detection device includes a plurality of detection stations, and each detection station detects each preset performance index of a product to be detected according to a preset detection sequence, as shown in fig. 3, the detection data processing apparatus includes:
the data acquisition module 101 is configured to acquire current station detection data of a current detection station and a historical station data result stored in a previous detection station, where the historical station data result is detection data corresponding to all detection stations that have completed detection of a product to be detected in a preset detection sequence. For details, refer to the related description of step S101 in the above method embodiment, and no further description is provided here.
And the data processing module 102 is configured to generate a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result. For details, refer to the related description of step S102 in the above method embodiment, and no further description is provided here.
And the data updating module 103 is used for updating the historical work station data result stored in the current detection work station into the current work station data result. For details, refer to the related description of step S103 in the above method embodiment, and no further description is provided here.
The detection data processing apparatus provided in the embodiment of the present invention is configured to execute the detection data processing method provided in the above embodiment, and the implementation manner and the principle thereof are the same, and details are referred to the related description of the above method embodiment and are not repeated.
Through the cooperative cooperation of the above components, the detection data processing apparatus provided in the embodiment of the present invention generates the current station data result corresponding to the current detection station by obtaining the current station detection data of the current detection station and the historical station data result stored in the previous detection station, and then replaces the historical station data result stored in the current station with the current station data result. Therefore, by the processing mode of the detection data, under the condition that the detection rate is not required to be reduced, the data can be guaranteed to be transferred along with the transfer of the detection stations in the transfer process, the influence of simultaneously detecting a plurality of products by different detection stations is avoided, the condition that the stored detection data cannot accurately correspond to the products due to the transfer of the detection stations is avoided, an accurate data base is provided for product detection, and the accuracy of the detection result is improved.
Fig. 4 shows a product inspection apparatus according to an embodiment of the present invention, and as shown in fig. 4, the product inspection apparatus includes: a processor 901 and a memory 902, wherein the processor 901 and the memory 902 may be connected by a bus or by other means, and fig. 4 illustrates an example of a connection by a bus.
The memory 902, which is a non-transitory computer-readable storage medium, may be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as program instructions/modules corresponding to the methods in the above-described method embodiments. The processor 901 executes various functional applications and data processing of the processor by executing non-transitory software programs, instructions and modules stored in the memory 902, that is, implements the methods in the above-described method embodiments.
The memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 901, and the like. Further, the memory 902 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 902 may optionally include memory located remotely from the processor 901, which may be connected to the processor 901 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
One or more modules are stored in the memory 902, which when executed by the processor 901 performs the methods in the above-described method embodiments.
The specific details of the product detection device may be understood by referring to the corresponding related descriptions and effects in the above method embodiments, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, and the implemented program can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD) or a Solid State Drive (SSD), etc.; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A detection data processing method is applied to product detection equipment, the product detection equipment comprises a plurality of detection stations, and each detection station detects each preset performance index of a product to be detected according to a preset detection sequence, and the method is characterized by comprising the following steps:
acquiring current station detection data of a current detection station and a historical station data result stored in a previous detection station, wherein the historical station data result is detection data corresponding to all detection stations which have finished detecting a product to be detected currently in the preset detection sequence;
generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result;
and updating the historical work station data result stored in the current detection work station into the current work station data result.
2. The method according to claim 1, wherein the product inspection apparatus further comprises a blanking station, and when the product to be inspected is inspected at all inspection stations, the product is transferred to the blanking station for blanking classification, and the method further comprises:
monitoring whether a new product to be detected exists in the blanking station;
when a new product to be detected exists in the blanking stations, obtaining a historical station data result stored in the last detection station in the preset detection sequence;
and generating a detection result corresponding to the new product to be detected according to the historical station data result stored in the last detection station.
3. The method of claim 2, wherein the current detection data comprises: and if the product is qualified and unqualified, generating a detection result corresponding to the new product to be detected according to the historical station data result stored in the last detection station, wherein the detection result comprises the following steps:
judging whether the historical station data stored in the last detection station contains unqualified detection data;
and when the historical station data stored in the last detection station contains unqualified detection data, judging that the new product to be detected is an NG product.
4. The method of claim 3, further comprising:
acquiring a detection station corresponding to unqualified detection data;
and classifying the NG products according to the preset performance indexes corresponding to the detection stations.
5. The method according to claim 2, wherein when the current detection station is the first detection station in the preset detection sequence, the historical station data result stored in the first detection station is updated to the current station detection data of the first detection station.
6. The method of claim 3,
and when the historical station data stored in the last detection station does not contain unqualified detection data, judging that the new product to be detected is an OK product.
7. The method of claim 1, further comprising:
and clearing the current station detection data of the current detection station.
8. The utility model provides a detect data processing apparatus, is applied to product detection equipment, product detection equipment includes a plurality of detection stations, and each detection station detects according to predetermineeing the detection order respectively treating each preset performance index that detects the product, its characterized in that, the device includes:
the data acquisition module is used for acquiring current station detection data of a current detection station and a historical station data result stored in a previous detection station, wherein the historical station data result is detection data corresponding to all detection stations which have finished detecting a product to be detected currently in the preset detection sequence;
the data processing module is used for generating a current station data result corresponding to the current detection station according to the current station detection data and the historical station data result;
and the data updating module is used for updating the historical work station data result stored in the current detection work station into the current work station data result.
9. A product testing device comprising: unloading station and a plurality of detection station, each detection station is treated each preset performance index that detects the product respectively according to predetermineeing the detection order and is detected, works as treat that it is through the detection back of all detection stations to detect the product, shifts to the unloading station and carries out the unloading classification, its characterized in that, product check out test set still includes:
a memory and a processor communicatively coupled to each other, the memory having stored therein computer instructions, the processor executing the computer instructions to perform the method of any of claims 1-7.
10. A computer-readable storage medium having stored thereon computer instructions for causing a computer to thereby perform the method of any one of claims 1-7.
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