CN117631708B - Pressure information control system and method for clean laboratory - Google Patents
Pressure information control system and method for clean laboratory Download PDFInfo
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Abstract
The pressure information control system and method for clean laboratory are characterized in that a suspected pressure value is obtained by collecting pressure values in the pressure control of the clean laboratory, and the non-circulating quantity of spans in groups of each suspected queue is obtained according to the mutation stability, the circulating property and the smoothness of spans among the suspected pressure values, so that whether the pressure value in each suspected queue is a violation value can be evaluated, the pressure value with the small span fluctuation is firstly taken as a key detection object, and the correct identification of the later violation value is facilitated; and the long-period forward trend in each suspicion queue acts on the change trend in each suspicion queue group, and whether the change trend has long-period performance or not is analyzed under the condition that span change is circulated, so that the attribute of the violation mutation is suitable for cooperative determination.
Description
Technical Field
The invention belongs to the technical field of pressure of clean laboratories, and particularly relates to a pressure information control system and method for a clean laboratory.
Background
Clean laboratories, also known as clean rooms (clean rooms), are commonly used as part of professional industrial production or scientific research, including manufacturing pharmaceuticals, integrated circuits, CRTs, LCDs, OLED and microLED displays, and the like. The clean room is designed to keep extremely low levels of particulates, such as dust, airborne organisms, or vaporized particulates. Specifically, the clean room has a controlled level of contamination, which is dictated by the number of particles per cubic meter at a given particle size. A clean room may also refer to any given containment space in which particulate contamination is to be reduced and other environmental parameters such as temperature, humidity and pressure are to be controlled.
When the pressure control is performed on a clean laboratory, a pressure sensor is usually arranged at an exhaust position of the laboratory, the pressure sensor is connected with an air supply device of the laboratory, the pressure sensor transmits the collected pressure value of the exhaust position of the laboratory to the controller, and the controller controls the air supply device to perform air inlet work according to the collected pressure value, for example, the pressure sensor is used for controlling the air supply device to perform air inlet work according to the prior art scheme of the patent number of CN201820690314.2 and the patent name of a laboratory pressure automatic balancing system.
Because the control of the clean laboratory pressure is continuously changed, the pressure change is controlled in a compliance zone, the compliance of the control of the clean laboratory pressure can be ensured, the clean laboratory performance can be ensured synchronously, and the violation deviation in the pressure value can be used for examination, and the pressure value collected during the control of the clean laboratory pressure is encrypted to be reliably transmitted to an upper computer for storage.
The frequency of the illegal value in the pressure value at the exhaust position of the current clean laboratory is not high compared with the legal value, so that the capacity formed after encryption of the illegal value is not low during the encryption of the pressure value; however, the higher the capacity of the encrypted pressure value, the more errors the pressure value will be, and the incorrect discrimination of the illegal value will be, so that the performance of the pressure value will be poor.
Disclosure of Invention
In order to solve the defects in the prior art, the invention provides a pressure information control system and a method for a clean laboratory, which are used for acquiring suspected pressure values by collecting pressure values in the pressure control of the clean laboratory, acquiring the non-circulating quantity of spans in groups of each suspected queue according to the mutation stability, the circulating property and the smoothness of spans among the suspected pressure values, evaluating whether the pressure values in each suspected queue are illegal values or not, and taking the pressure values with small span variation as key detection objects so as to be suitable for correctly distinguishing the illegal values afterwards; and the long-period forward trend in each suspicion queue acts on the change trend in each suspicion queue group, and whether the change trend has long-period performance or not is analyzed under the condition that span change is circulated, so that the attribute of the violation mutation is suitable for cooperative determination.
The invention adopts the following technical scheme.
A pressure information control method for a clean laboratory, comprising:
the pressure sensor transmits the pressure value of the exhaust place of the clean laboratory to the controller to execute treatment, the controller controls the air supply device to execute air inlet work according to the treated pressure value, and the controller also transmits the treated pressure value to the upper computer to display or store;
the method of performing a treatment includes:
s1: collecting a pressure value of an exhaust place of the clean laboratory transmitted by the pressure sensor;
s2: analyzing the pressure values to obtain the illegal action quantity of each suspected pressure value;
s3: the encryption of the entropy coding method is completed according to the illegal action amount of each suspected pressure value, namely, the encryption is performed on the pressure value of the clean laboratory.
Preferably, S2 specifically includes:
obtaining suspected pressure value units within pressure values by using set intervals, i.e. obtaining pressure compliance intervals at clean laboratory exhaust，/>Is the lowest pressure in the compliance zone, +.>The highest pressure and the lowest pressure in the compliance zone are respectively reduced inwards>The Pascal takes the reduced pressure interval as a checking pressure interval, takes the pressure value outside the checking pressure interval as a suspected pressure value unit, and takes the cluster formed by all suspected pressure value units as a suspected pressure value cluster;
performing aggregation on suspected pressure value units with continuous collection time points in the suspected pressure value clusters to obtain each suspected group; arranging the pressure values of each suspicion group according to the sequence from front to back of the time point to obtain each suspicion queue; and taking the pressure values outside the suspected pressure value units in the pressure values as compliance value units, taking the formed clusters as compliance value clusters, performing aggregation on the compliance value units with continuous collection time points in the compliance value clusters to obtain each compliance group, and arranging the pressure values of each compliance group in sequence from front to back according to the time points to obtain each compliance queue.
Preferably, S2 specifically further includes: face to the firstSuspicion ofThe suspicious queue performs parsing to get +.>The number of pressure values in the suspected queue is defined as +.>；
Face to the firstThe +.>And the suspected pressure value unit is used for calculating the progressive violation factor of the suspected pressure value unit by using the following equation:
in the equation of the present invention,is->In suspected queue +.>Progressive violation factor of a suspected pressure value unit,/->、Are respectively->The first part in the suspicion queue>Person, th->Units of suspected pressureValues.
Preferably, S2 specifically further comprises: face to the firstAnd calculating the span non-circulating quantity in the group of the suspicion queues by using the following equation:
in the equation of the present invention,is->Group span of suspected queues is not counted, +.>Is->Number of suspected pressure value units of a suspected queue, +.>、/>Are respectively->In suspected queue +.>Person, th->Progressive violation factor of a suspected pressure value unit,/->Is->The first part in the suspicion queue>Distance in group of suspected pressure units,/->Is the firstThe first part in the suspicion queue>Suspected pressure value units,)>Is->The average number of all suspicion pressure value units in each suspicion queue, < >>Is->Standard deviation of all suspicion pressure value units in each suspicion queue.
Preferably, S2 specifically further includes: and calculating a partial autocorrelation value of each suspected queue, and obtaining a fluctuation trend factor in the group of the suspected queues by using the following equation:
in the equation of the present invention,is->Varying trend factors in the group of suspected queues, +.>Is->Group span of suspected queues is not counted, +.>Is->Partial autocorrelation values of the suspected queues.
Preferably, S2 specifically further includes: a change trend factor is obtained for each suspected queue in the pressure values, and a change trend factor is calculated for each compliant queue in the pressure values.
Preferably, S2 specifically further includes: the adjacent suspicion significance for each suspicion queue is obtained using the following equation:
in the equation of the present invention,is->Adjacent suspicion significant amount of each suspicion queue, < ->Euler number, & lt + & gt>、/>Are respectively->Varying trend factors in groups of adjoining compliant queues preceding and following a suspected queue,/->Is->Varying trend factors in the group of suspected queues, +.>、/>Are respectively->The number of pressure values in the adjacent compliance queue before and after the suspected queue, +.>Is->Number of pressure values in a suspected queue.
Preferably, S2 specifically further includes: obtaining the illegal action quantity of each pressure value unit in the suspected pressure values according to each suspected pressure value unit in each suspected queue by using the following equation:
in the equation of the present invention,is->In suspected queue +.>The amount of violation of the suspected pressure value units, +.>Is to->Module for executing the operation of the Z-Score method, < ->Is->Adjacent suspicion significant amount of each suspicion queue, < ->Is->Suspected queue->Pressure value unit->Is->The average of the pressure values in each suspect queue.
Preferably, S3 specifically includes: obtaining the criticality of each suspected pressure value unit by adding the frequency of each suspected pressure value unit to the violation amount of each suspected pressure value unit in the obtained pressure values of the clean laboratory by summing the frequency of each suspected pressure value unit in the pressure values; and taking the criticality of each compliance value as the frequency of each compliance value, and executing entropy coding encryption according to the criticality of each pressure value unit.
A pressure information control system for a clean laboratory, comprising:
the exhaust part of the clean laboratory is provided with a pressure sensor, and the upper computer, the pressure sensor and the air supply device of the clean laboratory are connected with a controller;
pressure information control system to clean laboratory still includes:
the collecting module is used for collecting the pressure value of the clean laboratory exhaust place transmitted by the pressure sensor;
the analysis module is used for executing analysis on the pressure values to obtain the violation amount of each suspected pressure value;
and the encryption module is used for encrypting the entropy coding method according to the illegal action amount of each suspected pressure value, namely, encrypting the pressure value of the clean laboratory.
Compared with the prior art, the method has the beneficial effects that the suspected pressure values are obtained by collecting the pressure values in the pressure control of the clean laboratory, and the non-circulating quantity of spans in the group of each suspected queue is obtained according to the mutation stability, the circulating property and the smoothness of spans among the suspected pressure values, so that whether the pressure values in each suspected queue are illegal values can be evaluated, the pressure values with small span fluctuation are firstly taken as key detection objects, and the method is suitable for accurately distinguishing the illegal values after; the forward long-period trend in each suspicion queue acts on the change trend in the group of each suspicion queue, whether the change trend has long-period trend or not is analyzed under the condition that span change is circulated, and the attribute of the violation mutation is suitable for being cooperatively determined; then, the comparison is carried out on the adjacent compliance queues on the front side and the rear side of each suspicion queue, the adjacent suspicion significant quantity of the suspicion queue facing the compliance queues is obtained, the rule violation degree of the suspicion queues is determined by adding peripheral compliance pressure information, the rule violation value evaluating mode is more global, the correct judgment is carried out on each rule violation value, and lower deviation is formed; according to the method, the violation values in the pressure values of the clean laboratory can be encrypted to form lower capacity, the detection efficiency is improved during the subsequent recognition and treatment of the violation values, and the encrypted violation values with lower capacity are difficult to make mistakes during transmission, transformation, encryption, decryption and the like, so that the detection accuracy of the violation values is beneficial.
Drawings
FIG. 1 is a partial flow chart of a method of controlling pressure information for a clean laboratory according to the present invention;
fig. 2 is a schematic block diagram of a pressure information control system for a clean laboratory according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely expressed with reference to the drawings in the embodiments of the present invention. The embodiments expressed in this application are merely examples of some, but not all, of the present invention. All other embodiments, which can be made by those skilled in the art without making any inventive effort, are within the scope of the present invention.
As shown in fig. 1, a method for controlling pressure information of a clean laboratory according to the present invention is operated on a controller, and includes:
the pressure sensor transmits the pressure value of the exhaust place of the clean laboratory to the controller to execute treatment, the controller controls the air supply device to execute air inlet work according to the treated pressure value, and the controller also transmits the treated pressure value to the upper computer to display or store;
the method of performing a treatment includes:
s1: collecting a pressure value of an exhaust place of the clean laboratory transmitted by the pressure sensor;
since the pressure value at the exhaust of the clean laboratory is not constant, a pressure sensor is provided at the exhaust of the clean laboratory to collect the pressure values at the exhaust of the clean laboratory, wherein each pressure value is collected at a time interval of one second before the current time pointPressure values in 200 seconds, taking pressure values in the order of collection, total +.>A pressure value. The collected time interval and the collected pressure value number can be set by a manager according to the actual situation.
During the detection of the pressure value, clutter disturbance, sensor obstacle or error of the operation of the control personnel are often generated, so that the pressure value has a missing value, and the invention uses the improved Xie Biede method to supplement the missing value.
Therefore, the pressure value of the exhaust air of the clean laboratory can be obtained according to S1, and the analysis of the violation value in the pressure value is suitable for later execution.
S2: analyzing the pressure values to obtain the illegal action quantity of each suspected pressure value;
in a preferred but non-limiting embodiment of the present invention, the pressure violations are particularly useful in characterizing violations under control of the current clean laboratory pressure, and also as key credentials for later evaluation, variation of the clean laboratory pressure, because the pressure is critical to the clean laboratory performance, and if the pressure cannot be efficiently managed in the set interval, the clean laboratory performance will be poor.
However, during the encryption according to the present entropy encoding method, because there are few illegal values, the illegal values are often encrypted into encrypted values with high capacity when the encryption is performed on the encrypted values, and during the data transmission, storage, encryption and decryption, errors are often generated in such encrypted values with high capacity, so that the pressure evaluation under the control of the clean laboratory pressure is incorrect, and thus the performance of the clean laboratory is poor.
Therefore, the pressure value at the exhaust of clean laboratory is analyzed for violations, and the values have high effect on distinguishing violations for comprehensive pressure values, so S2 specifically includes:
obtaining suspected pressure value units within pressure values by using set intervals, i.e. obtaining pressure compliance intervals at clean laboratory exhaust，/>Is the lowest pressure in the compliance zone, +.>The highest pressure and the lowest pressure in the compliance zone are respectively reduced inwards>Pascal, regarding the reduced pressure interval as a checking pressure interval, and regarding the pressure value outside the checking pressure interval as a suspected pressure value unit, and +.>According to the actual situation, the present invention is to->Defining the quantity of the pressure value unit as four, and taking the cluster formed by all the suspected pressure value units as a suspected pressure value cluster;
performing aggregation on suspected pressure value units with continuous collection time points in the suspected pressure value clusters to obtain each suspected group; arranging the pressure values of each suspicion group according to the sequence from front to back of the time point to obtain each suspicion queue; and taking the pressure values outside the suspected pressure value units in the pressure values as compliance value units, taking the formed clusters as compliance value clusters, performing aggregation on the compliance value units with continuous collection time points in the compliance value clusters to obtain each compliance group, and arranging the pressure values of each compliance group in sequence from front to back according to the time points to obtain each compliance queue.
In a preferred but non-limiting embodiment of the present invention, S2 specifically further comprises: face to the firstThe suspected queues execute the analysis to resolve +.>The number of pressure values in the suspected queue is defined as +.>；
Because the pressure values of violations often form mutation and non-uniformity, if the mutation frequency is higher in each suspected queue, the probability of forming violations in each suspected queue is higher, and the suspected queue is faced with the first pointThe +.>And the suspected pressure value unit is used for calculating the progressive violation factor of the suspected pressure value unit by using the following equation:
in the equation of the present invention,is->In suspected queue +.>Progressive violation factor of a suspected pressure value unit,/->、Are respectively->The first part in the suspicion queue>Person, th->The values of the suspected pressure value units.
The non-small value separation between each adjacent suspect pressure value unit in the suspect queue means that the abrupt change formed between a pair of adjacent suspect pressure value units is not small andthe higher this means that the pressure value is at +.>Units of suspected pressureThe higher the mutation degree is, the more the suspected pressure value unit breaks rules, and the higher the progressive violation factor is.
In addition, according to the progressive violation factor between each adjacent pressure value units, the pressure of the adjacent pressure value units also forms similar differential variation in the control of the pressure of the clean laboratory, and the pressure value units are not fully characterized by the variation discrimination between the adjacent pressure units, however, the variation of the pressure value units inevitably presents a circulating and progressive increasing trend in the face of the pressure variation of the compliance, and if the variation trend between each adjacent pressure value units is not progressively increased but forms no small variation, the peripheral pressure value violations of the pressure value units can be characterized; if the pressure does not change too much in a time interval, that is, the range of the pressure in the suspected queue is not strong, the source value unit of the pressure value of the suspected queue is not always illegal deviation, and the illegal condition of the suspected queue can be reduced.
In a preferred but non-limiting embodiment of the present invention, S2 specifically further comprises: face to the firstAnd calculating the span non-circulating quantity in the group of the suspicion queues by using the following equation:
in the equation of the present invention,is->Group span of suspected queues is not counted, +.>Is->Of suspicion queuesSuspected pressure value cell number, +.>、/>Are respectively->In suspected queue +.>Person, th->Progressive violation factor of a suspected pressure value unit,/->Is->The first part in the suspicion queue>Distance in group of suspected pressure units,/->Is->The first part in the suspicion queue>Suspected pressure value units,)>Is->The average number of all suspicion pressure value units in each suspicion queue, < >>Is->Standard deviation of all suspicion pressure value units in each suspicion queue.
First, theThe higher the distance between the progressive violations between each adjacent pressure value unit in the suspected queue, the more gradual the pressure variation between the pressure value units in the group will not be, i.e. the pressure variation will not have strong circularity, and the non-circularity pressure variation means that the illegal pressure value is generated in the control of the clean laboratory pressure, which has negative effect on the clean laboratory performance; if the degree of distinction between the pressure value units is not large in the suspicion queue, that is, a smooth-span trend is formed in the suspicion queue, which means that the pressure variation in the suspicion queue is more gentle in the time interval, the suspicion queue is not necessarily used as a key suspicion queue, that is, a suspicion queue side before or after small variation is often formed is used as a key detection object.
In a preferred but non-limiting embodiment of the present invention, the span non-circularity in each suspected queue group can be obtained through the above operations, which is obtained according to the discrimination operation between each span; during the period of the pressure value variation, the long-period variation trend of the pressure value can reflect whether the pressure in the group has the long-period variation or not, if the group is provided with a continuous long-period suspicion queue, the violation condition of the group can be determined according to whether the whole group is provided with a past long-period trend, so the S2 specifically further comprises: and calculating a partial autocorrelation value of each suspected queue, and obtaining a fluctuation trend factor in the group of the suspected queues by using the following equation:
in the equation of the present invention,is->Varying trend factors in the group of suspected queues, +.>Is->Group span of suspected queues is not counted, +.>Is->Partial autocorrelation values of the suspected queues.
If the span in the group of the suspicious queue is not high, and the trend of the suspicious queue is not significant, the trend of the suspicious queue between each span is not circulating, which means that the trend of the suspicious queue is not high, that is, the trend factor of the suspicious queue is high, and the suspicious queue generates a pressure value against rules.
In a preferred but non-limiting embodiment of the present invention, S2 specifically further comprises: by cycling the above method, the variation trend factor in the group of each suspected queue in the pressure value can be obtained, and the variation trend factor in the group of each compliant queue in the pressure value is calculated according to the same method (except that the suspected queue in the equation is converted into the compliant queue).
According to the properties of the compliance queue and the suspected queue, the above obtained change trend factors in the group of the compliance queue and the change trend factors in the group of the suspected queue are compared, the general amount of the change trend factors in the group of the compliance queue is not large, but the violation condition is generated, namely the rule of the first is thatThe variation trend factors in the groups between the compliant queues on both sides of the suspected queues are not greatly differentiated, namely by other side sidesThe face can reflect that the suspected queue will not generate a violation.
In a preferred but non-limiting embodiment of the present invention, S2 specifically further comprises: then, the following equations are used to obtain the adjacent suspicion significant amount of each suspicion queue for the discrimination between each adjacent suspicion queue and the compliance queue:
in the equation of the present invention,is->Adjacent suspicion significant amount of each suspicion queue, < ->Euler number, & lt + & gt>、/>Are respectively->Varying trend factors in groups of adjoining compliant queues preceding and following a suspected queue,/->Is->Varying trend factors in the group of suspected queues, +.>、/>Are respectively->The number of pressure values in the adjacent compliance queue before and after the suspected queue, +.>Is->Number of pressure values in a suspected queue.
Here, when the suspicious queue is the first or last suspicious queue, the calculation is performed only on the preceding or following adjacent compliant queue without the preceding or following adjacent compliant queue, and the adjacent suspicious significant amount of the suspicious queue is obtained.
And the firstThe higher the division of the variation trend factor in the group between the suspected queue and the adjacent compliant queue, the more dissimilar the variation trend between the suspected queue and the compliant queue on two adjacent sides is, so that the higher the adjacent suspicion of the suspected queue is, that is, the higher the distinction between the suspected queue and the compliant queue on two sides is.
In a preferred but non-limiting embodiment of the present invention, S2 specifically further comprises: according to each suspected pressure value unit in each suspected queue, the violation amount of each pressure value unit in the suspected pressure values is obtained by using the following equation, namely, each pressure value unit can be verified according to the probability obtained by calculating the pressure value of the pressure value unit during encryption, so that the capacity of the violation value is reduced when the encryption is performed on the pressure value at the exhaust position of a clean laboratory, and the violation value is difficult to make mistakes during later violation detection and discrimination:
in the equation of the present invention,is->In suspected queue +.>The amount of violation of the suspected pressure value units, +.>Is to->Module for executing the operation of the Z-Score method, < ->Is->Adjacent suspicion significant amount of each suspicion queue, < ->Is->Suspected queue->Pressure value unit->Is->The average of the pressure values in each suspect queue.
And obtaining the offending action quantity of each suspected pressure value unit by adding the adjacent suspected significant quantity of each suspected queue and the dividing quantity between the average value of the pressure value of each pressure value unit in the suspected queue and the whole pressure value, wherein if the average value of the pressure value unit is higher, the fluctuation trend between the adjacent pair of the matched queues in front of and behind the suspected queue where the suspected pressure value unit is located is more remarkable, the offending action quantity is determined to be higher, and the action range between the suspected pressure value unit and the whole pressure value is larger, so that the offending action quantity is determined to be higher.
S3: the encryption of the entropy coding method is completed according to the illegal action amount of each suspected pressure value, namely, the encryption is performed on the pressure value of the clean laboratory.
In a preferred but non-limiting embodiment of the present invention, S3 specifically comprises: obtaining the criticality of each suspected pressure value unit by adding the frequency of each suspected pressure value unit to the violation amount of each suspected pressure value unit in the obtained pressure values of the clean laboratory by summing the frequency of each suspected pressure value unit in the pressure values; and taking the criticality of each compliance value as the frequency of each compliance value, and executing entropy coding encryption according to the criticality of each pressure value unit.
The encrypted violations in the pressure values of the clean laboratory obtained in this way have lower capacity, which is suitable for enhancing the detection efficiency during the subsequent distinguishing and disposing of the violations, while the encrypted violations of lower capacity are difficult to make mistakes during transfer, transformation, encryption, decryption, etc., thereby being beneficial for the accuracy of the detection of the violations.
As shown in fig. 2, a pressure information control system for a clean laboratory according to the present invention includes:
the air exhaust position of the clean laboratory is provided with a pressure sensor, the upper computer, the pressure sensor and the air supply device of the clean laboratory are connected with a controller, the pressure sensor transmits the pressure value of the air exhaust position of the clean laboratory to the controller to execute treatment, the controller controls the air supply device to execute air inlet work according to the received treated pressure value, and the controller also transmits the treated pressure value to the upper computer to be displayed or stored;
pressure information control system to clean laboratory still includes:
the collecting module is used for collecting the pressure value of the clean laboratory exhaust place transmitted by the pressure sensor;
the analysis module is used for executing analysis on the pressure values to obtain the violation amount of each suspected pressure value;
and the encryption module is used for encrypting the entropy coding method according to the illegal action amount of each suspected pressure value, namely, encrypting the pressure value of the clean laboratory. The controller controls the air supply device to perform air intake operation according to the collected treated pressure value is in the prior art, and details are not repeated here. The upper computer is an industrial personal computer.
Compared with the prior art, the method has the beneficial effects that the suspected pressure values are obtained by collecting the pressure values in the pressure control of the clean laboratory, and the non-circulating quantity of spans in the group of each suspected queue is obtained according to the mutation stability, the circulating property and the smoothness of spans among the suspected pressure values, so that whether the pressure values in each suspected queue are illegal values can be evaluated, the pressure values with small span fluctuation are firstly taken as key detection objects, and the method is suitable for accurately distinguishing the illegal values after; the forward long-period trend in each suspicion queue acts on the change trend in the group of each suspicion queue, whether the change trend has long-period trend or not is analyzed under the condition that span change is circulated, and the attribute of the violation mutation is suitable for being cooperatively determined; then, the comparison is carried out on the adjacent compliance queues on the front side and the rear side of each suspicion queue, the adjacent suspicion significant quantity of the suspicion queue facing the compliance queues is obtained, the rule violation degree of the suspicion queues is determined by adding peripheral compliance pressure information, the rule violation value evaluating mode is more global, the correct judgment is carried out on each rule violation value, and lower deviation is formed; according to the method, the violation values in the pressure values of the clean laboratory can be encrypted to form lower capacity, the detection efficiency is improved during the subsequent recognition and treatment of the violation values, and the encrypted violation values with lower capacity are difficult to make mistakes during transmission, transformation, encryption, decryption and the like, so that the detection accuracy of the violation values is beneficial.
The present disclosure is a computer program product. The computer program product includes a computer readable backup medium having computer readable program instructions embodied thereon for causing a processor to execute the disclosed aspects.
The computer readable backup medium is a tangible power grid line that can hold and backup instructions for execution of the power grid line exercise by the instructions. The computer readable backup medium is for example, but not limited to, an electrical backup power grid line, a magnetic backup power grid line, an optical backup power grid line, an electromagnetic backup power grid line, a semiconductor backup power grid line, or any suitable combination of the above. Still further examples (non-enumerated list) of the computer-readable backup medium include: portable computer disk, hard disk, random access backup (RAM), read-only backup (ROM), erasable programmable read-only backup (EPROM or flash memory), static random access backup (SRAM), portable compact disk read-only backup (HD-ROM), digital versatile disk (DXD), memory stick, floppy disk, mechanical coded electrical wiring, punch card like with instructions backed up thereon, or bump structures in grooves, optionally in combination with the above. The computer-readable backup medium as used herein is not to be construed as a transitory signal itself, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (as in the case of an optical pulse through a transmission line cable), or an electrical signal transmitted through an electrical wire.
The computer readable program instructions expressed herein can be downloaded from a computer readable backup medium to the respective extrapolated/processed power grid line or downloaded to an external computer or external backup power grid line via a wireless network, like the internet, a local area network, a wide area network, and/or a wireless network. Wireless networks can include copper transfer cables, transmission line transfer, wireless transfer, routers, firewalls, switches, gateway computers and/or edge servers. The wireless network adapter card or wireless network interface in each of the extrapolated/processed power grid lines receives computer-readable program instructions from the wireless network and forwards the computer-readable program instructions for storage in the computer-readable backup medium in each of the extrapolated/processed power grid lines.
The computer program instructions for performing the operations of the present disclosure can be assembler instructions, instruction set architecture (lSA) instructions, machine-related instructions, microcode, firmware instructions, conditional setting values, or source or destination code written in a random convergence of one or more programming languages, including an object oriented programming language such as Sdalltala, H++ or the like, as opposed to conventional procedural programming languages, such as the "H" language or similar programming languages. The computer readable program instructions can be executed entirely on the client computer, partly on the client computer, as a stand-alone software package, partly on the client computer and partly on a remote computer or entirely on the remote computer or server. In the case of remote computers, the remote computer can be connected to the client computer through a wireless network, including a local area network (LAb) or a wide area network (WAb), as desired, or can be connected to an external computer (as if an internet service provider were employed to connect through the internet). In some embodiments, the various aspects of the disclosure are addressed by personalizing an electronic circuit, like a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), with status values of computer readable program instructions.
Finally, it should be meant that the above embodiments are only meant to be a technical solution of the present invention and not a limitation thereof, although the detailed meaning of the present invention is performed with reference to the above embodiments, it should be understood by one of ordinary skill in the art: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, and any modifications and equivalents are intended to be encompassed within the scope of the claims.
Claims (2)
1. A pressure information control method for a clean laboratory, comprising:
the pressure sensor transmits the pressure value of the exhaust place of the clean laboratory to the controller to execute treatment, the controller controls the air supply device to execute air inlet work according to the treated pressure value, and the controller also transmits the treated pressure value to the upper computer to display or store;
the method of performing a treatment includes:
s1: collecting a pressure value of an exhaust place of the clean laboratory transmitted by the pressure sensor;
s2: analyzing the pressure values to obtain the illegal action quantity of each suspected pressure value;
s3: the encryption of the entropy coding method is completed according to the illegal action quantity of each suspected pressure value, namely, the encryption is performed on the pressure value of the clean laboratory;
s2 specifically comprises:
obtaining suspected pressure value units within pressure values by using set intervals, i.e. obtaining pressure compliance intervals at clean laboratory exhaust，/>Is the lowest pressure in the compliance zone, +.>The highest pressure and the lowest pressure in the compliance zone are respectively reduced inwards>The Pascal takes the reduced pressure interval as a checking pressure interval, takes the pressure value outside the checking pressure interval as a suspected pressure value unit, and takes the cluster formed by all suspected pressure value units as a suspected pressure value cluster;
performing aggregation on suspected pressure value units with continuous collection time points in the suspected pressure value clusters to obtain each suspected group; arranging the pressure values of each suspicion group according to the sequence from front to back of the time point to obtain each suspicion queue; taking the pressure values outside the suspected pressure value units in the pressure values as compliance value units, taking the clusters formed by the pressure values as compliance value clusters, performing aggregation on the compliance value units with continuous collection time points in the compliance value clusters to obtain each compliance group, and arranging the pressure values of each compliance group in sequence from front to back according to the time points to obtain each compliance queue;
s2 specifically further comprises: face to the firstThe suspected queues execute the analysis to resolve +.>The number of pressure values in the suspected queue is defined as +.>；
Face to the firstThe +.>And the suspected pressure value unit is used for calculating the progressive violation factor of the suspected pressure value unit by using the following equation:
in the equation, < >>Is->In suspected queue +.>Progressive violation factor of a suspected pressure value unit,/->、/>Are respectively->The first part in the suspicion queue>Person, th->The values of the suspected pressure value units;
according to the progressive violation factor of the suspected pressure value unit, S2 specifically further includes: face to the firstAnd calculating the span non-circulating quantity in the group of the suspicion queues by using the following equation:
in the equation, < >>Is->Group span of suspected queues is not counted, +.>Is->Number of suspected pressure value units of a suspected queue, +.>、/>Are respectively->In suspected queue +.>Person, th->Progressive violation factor of a suspected pressure value unit,/->Is->The first part in the suspicion queue>Distance in group of suspected pressure units,/->Is->The first part in the suspicion queue>Suspected pressure value units,)>Is->The average number of all suspicion pressure value units in each suspicion queue, < >>Is->Standard deviation of all suspected pressure value units in each suspected queue;
s2 specifically further comprises: and calculating a partial autocorrelation value of each suspected queue, and obtaining a fluctuation trend factor in the group of the suspected queues by using the following equation:
in the equation, < >>Is->Varying trend factors in the group of suspected queues, +.>Is->Group span of suspected queues is not counted, +.>Is->Partial autocorrelation values of the suspected queues;
s2 specifically further comprises: obtaining a fluctuation trend factor in the group of each suspected queue in the pressure value, and calculating the fluctuation trend factor in the group of each compliance queue in the pressure value;
s2 specifically further comprises: the adjacent suspicion significance for each suspicion queue is obtained using the following equation:
in the equation, < >>Is->Adjacent suspicion significant amount of each suspicion queue, < ->Euler number, & lt + & gt>、/>Are respectively->Varying trend factors in groups of adjoining compliant queues preceding and following a suspected queue,/->Is->Varying trend factors in the group of suspected queues, +.>、/>Are respectively->The number of pressure values in the adjacent compliance queue before and after the suspected queue, +.>Is->The number of pressure values in the suspected queues;
s2 specifically further comprises: obtaining the illegal action quantity of each pressure value unit in the suspected pressure values according to each suspected pressure value unit in each suspected queue by using the following equation:
in the equation, < >>Is->In suspected queue +.>The amount of violation of the suspected pressure value units, +.>Is to->Module for executing the operation of the Z-Score method, < ->Is->Adjacent suspicion significant amount of each suspicion queue, < ->Is->Suspected queue->Pressure value unit->Is->The average of the pressure values in each suspect queue.
2. The method for controlling pressure information for clean laboratories according to claim 1, wherein S3 specifically comprises: obtaining the criticality of each suspected pressure value unit by adding the frequency of each suspected pressure value unit to the violation amount of each suspected pressure value unit in the obtained pressure values of the clean laboratory by summing the frequency of each suspected pressure value unit in the pressure values; and taking the criticality of each compliance value as the frequency of each compliance value, and executing entropy coding encryption according to the criticality of each pressure value unit.
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