CN118052542A - Continuous detection system of silica gel structure production equipment - Google Patents

Abstract

The invention relates to the technical field of equipment detection, in particular to a continuous detection system of silica gel structural part production equipment. The system comprises a state detection module, an abnormal state determination module, a target determination module to be detected, a detection sequence construction module and a detection path construction module; by pre-judging the abnormal equipment, extracting the association item number and the association item class of the abnormal equipment to preferentially determine the production equipment for executing detection in a large number of production equipment to be detected, so as to accelerate the efficiency of determining the abnormal equipment; the short-distance detection path is constructed according to the detection path construction module, the production equipment is detected in a regular detection mode to improve efficiency, meanwhile, the time consumed for detecting the production equipment and the moving time of the detection equipment under the moving path are calculated, so that avoidance planning is conducted on other movable equipment in the production area, and convenience in detecting the production equipment and accuracy in detecting the end time are guaranteed.

Description

Continuous detection system of silica gel structure production equipment

Technical Field

The invention relates to the technical field of equipment detection, in particular to a continuous detection system of silica gel structural part production equipment.

Background

The silica gel structure is produced through the multiple production equipment in production area, wherein, to production equipment, can detect production equipment through corresponding check out test set at present to judge whether production equipment is in abnormal state, thereby be convenient for carry out safe regulation and control to production equipment, make production equipment carry out good production operation.

When detecting production equipment, the detection equipment directly detects the production equipment, but the production equipment may be located at different area positions in the current production area, and the measurement of the production equipment is larger, so that the random direct detection mode can cause influence on the detection efficiency of a large number of production equipment in the production area;

Meanwhile, when a large number of production equipment in the production area is detected, the production equipment in the production area is usually stopped, and the production equipment is detected one by one, so that how to quickly determine the production equipment in an abnormal state, so that the production equipment can timely recover the production operation, and the uninterrupted production operation of the production equipment is a problem to be solved at present.

Disclosure of Invention

Aiming at the defects existing in the prior art, the invention provides a continuous detection system for a silica gel structural member production device, which can effectively solve the problems that the detection efficiency of the production device is affected by a random direct detection mode in the prior art, the production device in an abnormal state cannot be rapidly determined, and the production operation of the production device is improved to be uninterrupted.

In order to achieve the above purpose, the invention is realized by the following technical scheme:

The invention provides a continuous detection system of a silica gel structural member production device, which comprises the following components:

a state detection module for setting a specified time and a detection threshold number, performing state detection on the production equipment through the specified time and the detection threshold number and generating detection data, thereby determining a comprehensive detection time for detecting the production equipment ；

The abnormal state determining module is used for acquiring detection data, judging the abnormal state of the production equipment according to the detection data, and marking the production equipment corresponding to the abnormal state as abnormal equipment, wherein:

After the abnormal device is determined, determining the time when the abnormal device last executes the detection data and marking the time as the historical detection time Determining the current time for detecting the abnormal equipment and marking the current time as real-time detection time/>Time/>, detected by historyAnd real-time detection time/>Time between construction risk time/>Based on risk time/>Determining an abnormal workpiece;

the to-be-detected target determining module is used for determining an abnormal detection item and running state data of the abnormal equipment, judging whether a matching condition is built by the running state data according to whether the abnormal detection item and the running state data are associated, and then predefining the to-be-detected production equipment according to the matching condition;

The detection sequence construction module is used for sequentially arranging production equipment to be detected and constructing a queue to be detected;

Further comprises:

The detection path construction module is used for eliminating the production equipment after detection to acquire the coordinates of the rest production equipment and constructing a short-distance detection path, and determining the production equipment to be detected by the short-distance detection path and the queue to be detected;

and a detection time determining module for calculating a time consumed for the production equipment to perform the detection According to the time spent detecting/>Determining detection end time/>Determining the secondary movement time of the detection device reaching other production devices by acquiring the distance between the other production devices and the end coordinates of the short-distance detection path, and combining the secondary movement time/>To determine future time/>And obtain detection limit time/>And according to the detection threshold number and the comprehensive detection time/>, of other production equipmentAnd comprehensively judging whether a detection signal is generated or not later.

Further, when the state detection module detects the production equipment, detection items required by the production equipment are determined, each detection item has a detection time, and the sum of the detection times of the detection items of each production equipment is marked as the integrated detection time。

Further, the historical detection timeAnd real-time detection time/>Time between construction risk time/>Then, judging whether the workpiece corresponding to the abnormal equipment has the step of performing the spot check, and when the spot check exists:

determining whether the workpiece is qualified in the sampling inspection step, and when the workpiece is qualified, determining the time of the sampling inspection step and marking the time as sampling inspection time With spot check time/>And real-time detection time/>Reconstruct risk time/>Reconstructed risk time/>Corresponding to the redetermined abnormal workpiece.

Further, the method for predetermining the production equipment to be detected under the matching condition comprises the following steps:

Acquiring operation state data of abnormal equipment, wherein the operation state data comprises operation parameters and an operation environment;

determining an abnormality detection item corresponding to the abnormality equipment, and determining whether the abnormality detection item has correlation with an operation parameter or an operation environment;

When the detection threshold number exists, a matching condition is built according to the current running state data, production equipment which meets the matching condition is determined in the subsequent production equipment to be detected, the number of the detected production equipment is determined according to the detection threshold number, and the state detection module is used for executing detection, wherein:

When the number of the abnormal devices is plural, a plurality of matching conditions are constructed based on the plurality of abnormal devices, and the production devices are respectively determined by the plurality of matching conditions, so that the state detection module performs detection.

Further, the construction method for constructing the queue to be detected comprises the following steps:

The method comprises the steps of obtaining existing association items when association exists between an abnormality detection item and running state data, constructing matching conditions by the association items and determining production equipment, thereby determining a plurality of production equipment and constructing a queue to be detected by the production equipment, wherein:

Acquiring the association number of the production equipment from a queue to be detected, and sequentially arranging the association number at least by more;

arranging the execution sequences of the production equipment corresponding to the association items, thereby reconstructing a queue to be detected;

Wherein, obtain the production facility of whether there is the same association number, when there is:

Judging whether the same association item class exists in the plurality of production devices, when the same association item class exists, acquiring the number of the production devices corresponding to the same association item class, sequentially arranging the production devices by at least more than the number of the production devices corresponding to the same association item class, and reconstructing a queue to be detected.

Further, the time spent detectingThe calculation formula of (2) is as follows: /(I)In the/>For detecting the time spent,/>For the number of all production facilities,/>In order to detect the threshold number of times,For detecting the movement time on a path over a short distance,/>，/>For detecting the actual distance of the path in short distance,/>Is the moving speed.

Further, the integrated detection timeAfter the determination, the pre-detection time/>, of the production equipment is obtainedTaking the time mark that the detected production equipment position reaches the next production equipment position to be detected as the step time/>Pre-examination time/>And step time/>And determining the actual detection time of the next production equipment to be detected, wherein:

Step time The maximum allowable time for making detection preparation for the next production equipment to be detected is formed.

Further, the detection threshold number corresponds to a plurality of production devices, when the production devices are positioned at a plurality of different coordinate positions, the pre-detection time is set in the production devices determined by the detection threshold numberWith the maximum step time in the detection threshold numberAnd combining with determining the time for executing detection of the subsequent production equipment to be detected, and subsequently determining the abnormal equipment according to the association number or the association class.

Finally, the method for judging whether the detection signal is generated or not by the detection time determining module comprises the following steps:

When (when) And/>And generating a detection signal to enable the state detection module to detect the production equipment, otherwise, not generating the detection signal.

Compared with the prior art, the technical scheme provided by the invention has the following beneficial effects:

By pre-judging the abnormal equipment, extracting the association item number and the association item class of the abnormal equipment to preferentially determine the production equipment for executing detection in a large number of production equipment to be detected, so as to accelerate the efficiency of determining the abnormal equipment;

The short-distance detection path is constructed according to the detection path construction module, the production equipment is detected in a regular detection mode to improve efficiency, meanwhile, the time consumed for detecting the production equipment and the moving time of the detection equipment under the moving path are calculated, so that avoidance planning is conducted on other movable equipment in the production area, and convenience in detecting the production equipment and accuracy in detecting the end time are guaranteed.

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. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.

FIG. 1 is an overall block diagram of the module of the present invention;

FIG. 2 is a schematic diagram of a method of determining production equipment to be inspected according to the present invention;

fig. 3 is a schematic diagram of a method for constructing a queue to be detected according to the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The invention is further described below with reference to examples.

Referring to fig. 1-3: continuous detecting system of silica gel structure production facility includes at least:

A state detection module for setting a specified time and a detection threshold number for performing state detection on the production equipment by the specified time (set detection time interval) and the detection threshold number and generating detection data, wherein the state detection module determines detection items required by the current production equipment when detecting the production equipment, the detection items comprise conventional state detection on a plurality of equipment such as a mixing equipment, a forming equipment and the like, the detection threshold number refers to the maximum number of simultaneous detection on the plurality of production equipment, and each production equipment usually has a plurality of detection items, each detection item has a calibrated detection time, thus determining the sum of the detection times of the plurality of detection items of each production equipment and marking as the integrated detection time The comprehensive detection time/>, hereIs constructed for one production facility, thus, the comprehensive detection time/>The time consumed for one production facility to pass through the state detection module as a whole.

Wherein the conventional state detection of the mixing device or the forming device comprises:

device mixing capability: ensuring that the mixing equipment can uniformly mix the silica gel raw materials in a specified time;

Accurate regulation and control of equipment: detecting whether the mixing equipment can accurately control parameters such as mixing proportion, temperature, humidity and the like of the silica gel raw material;

Equipment molding capability: detecting whether the molding equipment can produce qualified silica gel structural members according to the preset size and shape of the mold;

device curing capability: detecting the performance of the silica gel after being cured in forming equipment, such as hardness, toughness, wear resistance and the like;

The production equipment is subjected to state detection, including but not limited to the above-mentioned various detection items.

And an abnormal state determining module connected to the output end of the state detecting module, configured to obtain the detection data, input the detection data into the database, and compare the detection data with threshold data in the database, where for each detection item, the database stores standard threshold data, where the threshold data is a basis for determining whether the production equipment is in a normal state, so after the comparison of the detection data and the threshold data is completed, it is clear whether the detection item corresponding to the current detection data is in an abnormal state (the detection data is the same as the threshold data, or the detection data is within the threshold data range, and indicates that the production equipment is normal, otherwise indicates that the production equipment is abnormal), and when the detection item is in an abnormal state, the production equipment corresponding to the detection item is marked as abnormal equipment, where:

after the abnormal device is determined in the above, the time detected by the abnormal device before (the time of last executing the detection item) is determined and marked as the historical detection time Simultaneously determining the time of the current abnormal equipment detection and marking as real-time detection time/>Time/>, detected by historyAnd real-time detection time/>Time between construction risk time/>The risk time/>The abnormal equipment is in abnormal operation time, and the production quality of the abnormal equipment on the workpiece is inevitably influenced by the operation of the abnormal equipment under the risk time, so that the workpiece produced by the abnormal equipment under the risk time is marked as an abnormal workpiece, and the abnormal workpiece quantity caused by the abnormal equipment is determined so as to be convenient for repairing and treating the abnormal workpiece such as timely recall.

Further, the risk time in the aboveIn the determination, the risk time/>, is neededIn the method, whether a workpiece corresponding to abnormal equipment is subjected to a sampling inspection step is judged, when the sampling inspection step is carried out, whether the workpiece is qualified in the sampling inspection step is determined, and when the workpiece is qualified, the time of the sampling inspection step is defined and marked as sampling inspection time/>To/>, at risk timeInternal rejection spot check time/>With spot check time/>And real-time detection time/>To reconstruct risk time/>Reconstructed risk time/>The abnormal workpiece is determined according to the method, so that the abnormal workpiece caused by the abnormal equipment can be accurately determined, and accurate recall and treatment are conveniently carried out on the abnormal workpiece quantity.

Detecting the production equipment in the state detection module and determining the comprehensive detection timeThereafter, the same production facility generally detects each integrated time/>Is the same, so after the production equipment is detected by the detection threshold number, the detection is based on the comprehensive detection time/>Predicting the next time the production equipment is to be tested and marking as pre-test time/>So that the production equipment is ready in advance, therefore, in order to facilitate the determination of the production equipment with high abnormal risk, the production time of the production equipment is quickened, and the production equipment further comprises:

The to-be-detected target determining module is used for determining production equipment to be detected, and the determining method comprises the following steps:

Acquiring operation state data of the abnormal equipment, wherein the operation state data comprises operation parameters and an operation environment, the operation parameters refer to various data indexes in the operation process of the abnormal equipment, and the operation environment refers to external influencing factors such as the environment temperature, the environment humidity and the like of the abnormal equipment;

Meanwhile, determining an abnormality detection item corresponding to the abnormality equipment, and determining whether the abnormality detection item has correlation with an operation parameter or an operation environment;

If so, establishing matching conditions according to the current operation parameters or operation environments, thereby determining production equipment which meets the matching conditions in the subsequent production equipment to be detected, and determining the number of the production equipment to be detected according to the detection threshold number, wherein the state detection module is used for detecting the state of the production equipment according to the pre-detection time The production equipment with high risk probability is pre-detected in advance so that the production operation can be performed after detection is completed, and the production capacity is ensured.

When a plurality of abnormal devices are established, a plurality of different matching conditions can be established based on the plurality of abnormal devices, and the production devices are synchronously determined according to the plurality of matching conditions, so that the subsequent rapid determination of the abnormal devices is realized.

In order to further rapidly determine the abnormal device, the scheme further includes a detection sequence construction module, configured to, when it is clear that there is a correlation between the abnormal detection item and an operation parameter (such as an operation speed, a set operation temperature, etc.) or an operation environment, acquire the existing correlation, if the abnormal detection item is related to both an environmental temperature and an environmental humidity (a class of correlation) in the operation environment (if the number of correlation is two), construct a matching condition (screening by the environmental temperature and the environmental humidity) according to the correlation, so as to determine a production device identical to the matching condition, thereby determining a plurality of production devices identical to the abnormal device in environmental temperature and/or environmental humidity, and construct a queue to be detected according to the correlation, where, for facilitating rapid detection, the following steps are performed:

in a queue to be detected, acquiring the number of association items of the production equipment, and sequentially arranging the number of association items at least by more;

synchronously arranging the execution sequences of the production equipment corresponding to the association items, thereby reconstructing a queue to be detected;

And when the same association item class exists, the number of the production devices corresponding to the same association item class is acquired, at least the production devices are sequentially arranged according to the number of the production devices corresponding to the same association item class, and the queue to be detected is reconstructed.

The production equipment is determined successively in the queue to be detected by the state detection module according to the detection threshold number, so that the production equipment with high risk probability can be listed as a pre-detection target in advance by the scheme, and abnormal equipment can be determined quickly.

Further comprises:

The detection path construction module is configured to acquire all production equipment coordinates, reject the production equipment coordinates detected by the state detection module from all production equipment coordinates, and construct a short-distance detection path from the remaining production equipment coordinates, so as to avoid excessive movement loss time of the detection equipment adopted by the state detection module, and the algorithm for determining the short-distance detection path may be acquired through a florid algorithm and a shortest path tree, which is not described in detail herein, where:

When the queue to be detected is determined, the production equipment coordinates in the queue to be detected are obtained through the positioning system and marked as the coordinates to be detected, and as the state detection module is executed by the detection threshold number and the short-distance detection path, the production equipment coordinates which are determined to be detected by the state detection module in the short-distance detection path by the detection threshold number are determined to be the preset detection coordinates, and whether the coordinates to be detected correspond to the preset detection coordinates or not is judged:

When the coordinates to be detected correspond to the preset detection coordinates one by one, the state detection module is enabled to enable the production equipment corresponding to the coordinates to be detected to be in the pre-detection time And executing detection preparation, and when the production equipment corresponding to the coordinates to be detected is smaller than the detection threshold number, enabling the state detection module to meet the detection threshold number for detection because the production equipment corresponding to the predetermined detection coordinates corresponds to the detection threshold number.

In this regard, it should be noted that, after the state detection module detects the production equipment through the detection path construction module, the step is repeatedly performed through the abnormal state determination module, so as to determine the abnormal equipment and the abnormal workpiece, so that it is convenient to make timely emergency control for the abnormal equipment and the abnormal workpiece.

Further, the method further comprises the following steps:

the detection time determining module is used for calculating the time consumed by the state detection module for executing the detection project on the production equipment, and the algorithm formula is as follows: in the/> In order to detect the time spent in the test,For the number of all production facilities,/>To detect threshold number,/>For detecting the movement time on a path over a short distance,/>，/>For detecting the actual distance of the path in short distance,/>For the speed of movement, the/>, can be calculated from thisAnd combining the designated time to determine the time after all production equipment are detected by the state detection module and marking the time as detection ending time/>Here, the/>, as determined hereIs determined for the same type of production equipment, since it will comprise a plurality of production equipment at the production enterprise or production center, and therefore, depending on the determination/>Other production facilities can be indicated to the production enterprises or production areasAnd the preparation to be detected is made, so that the detection efficiency of production equipment is improved.

In the scheme, the comprehensive detection time of the production equipment is definedThereafter, the pre-inspection time/>, of all production equipment (the same type of production equipment as the initially inspected production equipment) can be obtained in the production areaAnd because the detection end time/> isdeterminedThus, the pre-detection time/>, can be usedDetection end time/>And determining the coordinate position of the detection equipment used for detection by the state detection module under different time by the short-distance detection path, wherein the detection equipment is conditioned by the short-distance detection path, so that the time when the current position of the production equipment which is detected by the detection equipment reaches the position of the next production equipment to be detected can be determined, and the time is marked as the step time/>And will pre-check time/>And step time/>The combination can determine the actual detection time of the next production equipment to be detected, wherein, for the step time/>A maximum allowable time for making a preparation for inspection of the next production equipment to be inspected may be formed, thereby to ensure progress of the inspection job, wherein:

pre-examination time The time of the corresponding detection equipment to go to the coordinate position of the next production equipment to be detected under the current coordinate position is synchronized, and the step time/>The detection equipment is correspondingly arranged at different coordinate positions, and the pre-detection time/>And step time/>In combination with determining the coordinate position reached by the detection device, the movement path of the detection device and the coordinate position at different times can be shared into the production area, so that other mobile devices in the production area generate obstacle avoidance to the detection device to avoid step time/>Is affected to make the detection end time/>Is more accurate.

In this solution, since the abnormal device is determined by the association number and the association class, the abnormal device is determined subsequently based on the association number and the association class, so that, in order to facilitate the determination of the abnormal device, when the production device determined by the detection threshold number is detected, the detection time of the detection device controlled by the state detection module performed by the production device determined by the detection threshold number is uniform, and the production device may be located at a plurality of different coordinate positions due to the corresponding production devices at the detection threshold number, and therefore, in the production device determined by the detection threshold number, the corresponding step time is generated when the detection device goes to the corresponding production deviceTo pre-check time/>And maximum step time/>The combination can determine the time of detection of the next plurality of production equipment to be detected, thereby enabling the subsequent production equipment to execute association items or association item classes to determine abnormal equipment.

It is worth noting that, in the clearIn this case, it is also necessary to acquire the distance between the other production equipment (of a type different from the production equipment for which the above detection is completed) and the short-distance detection path end coordinates, thereby acquiring the secondary movement time of the short-distance detection path end to the other production equipment, and combining the secondary movement time/>To determine future time to other production facilities/>And obtain detection limit time/>(Detection limit time/>)Refers to the latest time of detection operation under the same day), and according to the detection threshold number and the comprehensive detection time/>, of other production equipmentAnd (3) performing comprehensive judgment:

When (when) And/>And generating a detection signal to enable the state detection module to detect the production equipment, otherwise, not generating the detection signal.

The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; these modifications or substitutions do not depart from the essence of the corresponding technical solutions from the protection scope of the technical solutions of the embodiments of the present invention.

Claims (9)

1. Continuous detecting system of silica gel structure production facility, its characterized in that includes:

a state detection module for detecting the production equipment and generating detection data, thereby determining the comprehensive detection time for detection ；

The abnormal state determining module is used for acquiring detection data, judging the abnormal state of the production equipment according to the detection data, and marking the production equipment corresponding to the abnormal state as abnormal equipment, wherein:

determining abnormal device history detection time And real-time detection time/>, of the current abnormality detection deviceTime/>, detected by historyAnd real-time detection time/>Build risk time/>Based on risk time/>Determining an abnormal workpiece;

The to-be-detected target determining module is used for acquiring the running state data of the abnormal equipment, judging whether a matching condition is constructed by the running state data and determining the to-be-detected production equipment;

The detection sequence construction module is used for sequentially arranging production equipment to be detected and constructing a queue to be detected;

Further comprises:

The detection path construction module is used for constructing a short-distance detection path and determining production equipment to be detected by the short-distance detection path and a queue to be detected;

And a detection time determining module for determining whether a detection signal is generated later.

2. The continuous detecting system for silica gel structural member production equipment according to claim 1, wherein the state detecting module determines detecting items required by the production equipment when detecting the production equipment, each detecting item has detecting time, and the sum of detecting times of a plurality of detecting items of each production equipment is marked as integrated detecting time。

3. A continuous inspection system for a silica gel structural member production facility as claimed in claim 1, wherein the historical inspection timeAnd real-time detection time/>Time between construction risk time/>Reconstructed risk time/>Corresponding to the redetermined abnormal workpiece.

4. The continuous detection system of silica gel structural member production equipment according to claim 1, wherein the method for constructing matching conditions and determining production equipment to be detected from the operation state data comprises the following steps:

Acquiring operation state data of abnormal equipment, wherein the operation state data comprises operation parameters and an operation environment;

determining an abnormality detection item corresponding to the abnormality equipment, and determining whether the abnormality detection item has correlation with an operation parameter or an operation environment;

When the detection threshold number exists, a matching condition is built according to the current running state data, production equipment which meets the matching condition is determined in the subsequent production equipment to be detected, the number of the detected production equipment is determined according to the detection threshold number, and the state detection module is used for executing detection, wherein:

When the number of the abnormal devices is plural, a plurality of matching conditions are constructed based on the plurality of abnormal devices, and the production devices are respectively determined by the plurality of matching conditions, so that the state detection module performs detection.

5. The continuous detection system of a silica gel structural member production device according to claim 1, wherein the construction method for constructing the queue to be detected is as follows:

The method comprises the steps of obtaining existing association items when association exists between an abnormality detection item and running state data, constructing matching conditions by the association items and determining production equipment, thereby determining a plurality of production equipment and constructing a queue to be detected by the production equipment, wherein:

Acquiring the association number of the production equipment from a queue to be detected, and sequentially arranging the association number at least by more;

arranging the execution sequences of the production equipment corresponding to the association items, thereby reconstructing a queue to be detected;

Wherein, obtain the production facility of whether there is the same association number, when there is:

Judging whether the same association item class exists in the plurality of production devices, when the same association item class exists, acquiring the number of the production devices corresponding to the same association item class, sequentially arranging the production devices by at least more than the number of the production devices corresponding to the same association item class, and reconstructing a queue to be detected.

6. A continuous inspection system for a silica gel structural member production apparatus according to claim 1, wherein the time consumed for the inspection is as followsThe calculation formula of (2) is as follows: /(I)In the/>In order to detect the time spent in the test,For the number of all production facilities,/>To detect threshold number,/>For detecting the movement time on a path over a short distance,/>，/>For detecting the actual distance of the path in short distance,/>Is the moving speed.

7. The continuous detection system for silica gel structural member production equipment according to claim 5, wherein the comprehensive detection time is as followsAfter the determination, the pre-detection time/>, of the production equipment is obtainedTaking the time mark that the detected production equipment position reaches the next production equipment position to be detected as the step time/>Pre-examination time/>And step time/>And determining the actual detection time of the next production equipment to be detected, wherein:

Step time The maximum allowable time for making detection preparation for the next production equipment to be detected is formed.

8. The continuous detecting system for silica gel structural member production equipment according to claim 7, wherein the detecting threshold number corresponds to a plurality of production equipment, and when the production equipment is located at a plurality of different coordinate positions, the pre-detecting time is set in the production equipment determined by the detecting threshold numberMaximum step time/>, from the detection threshold numberAnd combining with determining the time for executing detection of the subsequent production equipment to be detected, and subsequently determining the abnormal equipment according to the association number or the association class.

9. The continuous detection system of a silica gel structural member production device according to claim 1, wherein the method for determining whether the detection signal is generated subsequently by the detection time determining module comprises the following steps:

Calculating time consumed by a production facility to perform a test According to the time spent detecting/>Determining detection end time/>；

Determining the secondary movement time of the detection device to the other production device by acquiring the distance between the other production device and the end coordinates of the short-distance detection path, and combining the secondary movement timeTo determine future time/>And obtain detection limit time/>And according to the detection threshold number and the comprehensive detection time/>, of other production equipmentAnd comprehensively judging whether a detection signal is generated or not later, wherein:

When (when) And/>And generating a detection signal to enable the state detection module to detect the production equipment, otherwise, not generating the detection signal.