CN111639764A - Industrial control operating system with AI reasoning and acceleration computing capability - Google Patents
Industrial control operating system with AI reasoning and acceleration computing capability Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0646—Horizontal data movement in storage systems, i.e. moving data in between storage devices or systems
- G06F3/0652—Erasing, e.g. deleting, data cleaning, moving of data to a wastebasket
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/0671—In-line storage system
- G06F3/0673—Single storage device
- G06F3/0674—Disk device
- G06F3/0676—Magnetic disk device
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- G—PHYSICS
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- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
Abstract
The invention discloses an industrial control operating system with AI reasoning and accelerating computing power, which is used for solving the problems that the existing operating system for the industrial control machine cannot clean and dump a storage disk in the industrial control machine, so that the operation is not smooth and the reliability is reduced; the system comprises a data receiving module, a data acquisition module, a processor, an AI reasoning module, a disk cleaning module, a dump analysis module, a disk storage module, a dump execution module, a registration login module and a server; according to the invention, the device information in the disk storage module is subjected to the transcount analysis and calculation and reasonably sent to the server for storage, so that the storage space of disk storage is reduced, and the operation of the operating system of the industrial personal computer is smoother; the AI reasoning module is used for analyzing the cleaning value of the disk storage module, and the disk cleaning module is used for reasonably selecting corresponding operators to clean the disk storage module, so that the high-efficiency and reliable operation of the industrial personal computer is ensured.
Description
Technical Field
The invention relates to the technical field of operating systems of industrial personal computers, in particular to an industrial control operating system with AI reasoning and accelerating computing capability.
Background
Industrial personal computer (industrial control computer) is a general name for tools which adopt a bus structure and detect and control production processes, electromechanical equipment and process equipment. The industrial personal computer has important computer attributes and characteristics, such as a computer mainboard, a CPU, a hard disk, a memory, peripherals and interfaces, an operating system, a control network and protocol, computing capability and a friendly human-computer interface. The product and technology of industrial control industry are very special, belong to the intermediate product, it is stable, reliable, embedded, intelligent industrial computer to provide for other every trade.
The existing operating system for the industrial personal computer cannot clean and dump a storage disk in the industrial personal computer, so that the operation of the existing operating system is not smooth and the reliability of the existing operating system is reduced.
Disclosure of Invention
The invention aims to solve the problems that the prior industrial personal computer operating system cannot clean and transfer the storage disk in the industrial personal computer, so that the operation is not smooth and the reliability is reduced, and provides an industrial personal computer operating system with AI reasoning and accelerating computing capability; according to the invention, the device information in the disk storage module is subjected to the transcount analysis and calculation and reasonably sent to the server for storage, so that the storage space of disk storage is reduced, and the operation of the operating system of the industrial personal computer is smoother; the AI reasoning module is used for analyzing the cleaning value of the disk storage module, and the disk cleaning module is used for reasonably selecting corresponding operators to clean the disk storage module, so that the high-efficiency and reliable operation of the industrial personal computer is ensured.
The purpose of the invention can be realized by the following technical scheme: an industrial control operating system with AI reasoning and accelerating computing power comprises a data receiving module, a data acquisition module, a processor, an AI reasoning module, a disk cleaning module, a dump analysis module, a disk storage module, a dump execution module, a registration login module and a server;
the data receiving module is used for receiving equipment information of mechanical equipment connected with the industrial personal computer and sending the equipment information to the processor, and the equipment information comprises the name of the mechanical equipment, equipment data generated by the mechanical equipment and sending time; the processor receives the equipment information and sends the equipment information to the disk storage module for storage;
the data acquisition module is used for acquiring the storage time, the access times and the access time of the equipment information stored in the disk storage module, and the data acquisition module sends the acquired access times and access time to the unloading analysis module; the access time comprises an access starting time and an access ending time;
the unloading analysis module is used for analyzing the equipment information stored in the disk storage module and unloading the equipment information, and the method comprises the following specific steps:
the method comprises the following steps: marking mechanical equipment connected with an industrial personal computer as Pi, i is 1, 2, … … and n; marking the equipment information of the mechanical equipment as Pij, j is 1, 2, … …, n;
step two: calculating the time difference between the storage time corresponding to the equipment information of the mechanical equipment and the current time of the system to obtain the storage duration; when the storage duration is greater than a set threshold, marking the equipment information as information to be transferred;
marking the information to be transferred as Pik, k ∈ j, setting the storage time of the information to be transferred as TPik(ii) a Setting the number of access times of the information to be transferred as MPik；
Step four: counting the access time, counting the time difference between the access starting time and the access ending time of each access time to obtain the single access time length, summing all the single access time lengths to obtain the total access time length, and marking the total access time length as FPik；
Step five: sequencing the access time according to the time sequence, calculating the access interval duration between two adjacent access times, summing all the access interval durations to obtain the total interval duration and marking as WPik；
Step six: extracting values of storage duration, access times, total access duration and total interval duration of the information to be transferred;
step seven: using formulas
Acquiring a dump value ZC of information to be dumpedPik(ii) a Wherein mu is a calibration factor, and the value of mu is 0.923; d1, d2, d3 and d4 are all preset proportionality coefficients;
step eight: when the unloading value is larger than the set unloading threshold value, generating an unloading instruction of the information to be unloaded;
step nine: the unloading analysis module sends an unloading instruction of the information to be unloaded to the unloading execution module;
and after receiving a transfer instruction of the information to be transferred, the transfer execution module sends the corresponding information to be transferred in the disk storage module to the server for storage, and simultaneously deletes the information from the disk storage module.
Preferably, the registration login module is used for an operator corresponding to the industrial personal computer to submit the personnel information through the mobile phone terminal for registration and send the personnel information which is successfully registered to the disk storage module for storage; the personnel information comprises the name, the mobile phone number, the time of entry and the age of the operator;
the AI reasoning module is used for collecting and analyzing the disk information of the disk storage module, wherein the disk information comprises disk cleaning time, disk cleaning times and disk storage capacity; the specific analysis steps are as follows:
s1: acquiring a disk cleaning time closest to the current time of the system, and calculating the time difference between the current time of the system and the latest disk cleaning time to obtain a disk cleaning duration V1;
s2: acquiring the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, increasing the capacity frequency by one when the storage capacity is larger than a set threshold, counting the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, and acquiring the capacity frequency and marking the capacity frequency as V2;
s3: marking the number of times of disk cleaning as V3;
s4: extracting numerical values of disk cleaning duration, capacity times and disk cleaning times, and obtaining a cleaning value V of the disk storage module by using a formula V (V1) d5+ V2 d6+ V3 d7, wherein d5, d6 and d7 are all preset proportionality coefficients;
s5: when the clearing value V is larger than the set clearing threshold value, generating a clearing instruction; and the AI reasoning module sends the cleaning instruction to the disk cleaning module.
Preferably, the disk cleaning module is configured to clean the disk storage module, and the specific cleaning steps are as follows:
the method comprises the following steps: after receiving the cleaning instruction, the disk cleaning module generates a compression instruction and sends the compression instruction to the disk storage module;
step two: after the disk storage module receives the compression instruction, compressing the personnel information and the equipment information in the disk storage module, and simultaneously sending the personnel information to the disk cleaning module;
step three: the disk cleaning module analyzes the personnel information after receiving the personnel information, and the specific analysis steps are as follows:
SS 1: the operator is marked as Rh, h ═ 1, 2, … …, 10; calculating the time difference between the current time of the system and the time of the operator to obtain the time of the operator, and marking the time as LRh；
SS 2: set the age of the operator as NRh(ii) a Total number of operator cleanings PRh(ii) a The cleaning timeliness value of the operator is recorded as QRh(ii) a Extracting numerical values of age, total times of cleaning and time values;
SS 3: using formulas
Obtaining an operation kiss value G of an operatorRh(ii) a Wherein d8, d9 and d10 are all preset proportionality coefficients;
SS 4: selecting the operator with the largest coincidence value as the selected cleaning operator;
step four: the disk cleaning module sends a cleaning instruction and the position of the disk storage module to a mobile phone terminal of a selected cleaning person, and simultaneously sends the moment of sending the cleaning instruction and the position of the disk storage module to the server; the server receives the time for sending the cleaning instruction and the position of the disk storage module and starts timing;
step five: the selected cleaning personnel arrive at the position of the disk storage module and send a cleaning starting instruction through the mobile phone terminal, the disk cleaning module receives the cleaning starting instruction and then verifies the selected cleaning personnel, and when the verification is qualified, an execution starting instruction is generated and sent to the mobile phone terminal of the selected cleaning personnel;
step six: after receiving an execution starting instruction through a mobile phone terminal, a selected cleaning person connects a self-contained removable hard disk with a disk storage module;
step seven: the disk cleaning module cuts the compressed personnel information and the compressed equipment information into the removable hard disk for storage, then the disk cleaning module carries out formatting operation on the disk storage module, and after the operation is finished, the compressed personnel information and the compressed equipment information stored in the removable hard disk are cut into the disk storage module for decompression and storage; after the storage is finished, the disk storage module generates a finishing instruction and sends the finishing instruction to the server and the mobile phone terminal of the selected cleaning personnel;
step eight: when the mobile phone terminal of the selected cleaning personnel receives the completion instruction, the mobile hard disk is pulled out to be disconnected with the magnetic disk storage module; when the server receives the completion instruction, timing is stopped, and the total cleaning times of the selected personnel are increased by one; then, the time difference between the starting timing and the stopping timing is obtained to obtain the cleaning execution duration; when the cleaning execution time length is greater than a set execution threshold value, calculating a cleaning and time value, and setting the cleaning execution time length as X1; execution threshold is X2; obtaining a single-time execution value X of the selected cleaning personnel by using a formula X- (X1-X2) d 11; wherein d11 is a preset proportionality coefficient; summing all single execution values of the selected cleaning personnel to obtain a cleaning and time value Q of the selected cleaning personnelRh。
Compared with the prior art, the invention has the beneficial effects that:
1. the data acquisition module acquires the storage time, the access times and the access time of the equipment information stored in the disk storage module, and the data acquisition module transmits the acquired access times and access time to the unloading analysis module; the unloading analysis module is used for analyzing and unloading the equipment information stored in the disk storage module, and extracting the storage duration, the access times, the total access duration and the total interval duration of the information to be unloaded; obtaining a dump value of the information to be dumped by using a formula; when the unloading value is larger than the set unloading threshold value, generating an unloading instruction of the information to be unloaded; the unloading analysis module sends an unloading instruction of the information to be unloaded to the unloading execution module, and the unloading execution module sends the corresponding information to be unloaded in the disk storage module to the server for storage after receiving the unloading instruction of the information to be unloaded, and deletes the information from the disk storage module; the device information in the disk storage module is analyzed and calculated by transferring the stored value and reasonably sent to the server for storage, so that the storage space of the disk storage is reduced, and the operation of the operating system of the industrial personal computer is smoother;
2. the AI reasoning module acquires and analyzes the disk information of the disk storage module, acquires a disk cleaning time closest to the current time of the system, calculates the time difference between the current time of the system and the latest disk cleaning time to obtain a disk cleaning time, acquires the daily storage capacity of the disk within a time range corresponding to the disk cleaning time, increases the capacity frequency by one when the storage capacity is greater than a set threshold value, counts the daily storage capacity of the disk within the time range corresponding to the disk cleaning time, extracts the numerical values of the disk cleaning time, the capacity frequency and the disk cleaning frequency, acquires the cleaning value of the disk storage module by using a formula, and generates a cleaning instruction when the cleaning value is greater than the set cleaning threshold value; the AI reasoning module sends a cleaning instruction to the disk cleaning module, and the disk cleaning module is used for cleaning the disk storage module; the AI reasoning module is used for analyzing the cleaning value of the disk storage module, and the disk cleaning module is used for reasonably selecting corresponding operators to clean the disk storage module, so that the high-efficiency and reliable operation of the industrial personal computer is ensured.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic view of the overall structure of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
Referring to fig. 1, an industrial control operating system with AI inference acceleration computing capability includes a data receiving module, a data collecting module, a processor, an AI inference module, a disk cleaning module, a dump analysis module, a disk storage module, a dump execution module, a registration login module, and a server;
the data receiving module is used for receiving equipment information of mechanical equipment connected with the industrial personal computer and sending the equipment information to the processor, and the equipment information comprises the name of the mechanical equipment, equipment data generated by the mechanical equipment and sending time; the processor receives the equipment information and sends the equipment information to the disk storage module for storage;
the data acquisition module is used for acquiring the storage time, the access times and the access time of the equipment information stored in the disk storage module, and the data acquisition module sends the acquired access times and access time to the unloading analysis module; the access time comprises an access starting time and an access ending time;
the unloading analysis module is used for analyzing the equipment information stored in the disk storage module and unloading the equipment information, and the method comprises the following specific steps:
the method comprises the following steps: marking mechanical equipment connected with an industrial personal computer as Pi, i is 1, 2, … … and n; marking the equipment information of the mechanical equipment as Pij, j is 1, 2, … …, n;
step two: calculating the time difference between the storage time corresponding to the equipment information of the mechanical equipment and the current time of the system to obtain the storage duration; when the storage duration is greater than a set threshold, marking the equipment information as information to be transferred;
marking the information to be transferred as Pik, k ∈ j, setting the storage time of the information to be transferred as TPik(ii) a Setting the number of access times of the information to be transferred as MPik；
Step four: counting the access time, counting the time difference between the access starting time and the access ending time of each access time to obtain the single access time length, summing all the single access time lengths to obtain the total access time length, and marking the total access time length as FPik；
Step five: sequencing the access time according to the time sequence, calculating the access interval duration between two adjacent access times, summing all the access interval durations to obtain the total interval duration and marking as WPik；
Step six: extracting values of storage duration, access times, total access duration and total interval duration of the information to be transferred;
step seven: using formulas
Acquiring a dump value ZC of information to be dumpedPik(ii) a Wherein mu is a calibration factor, and the value of mu is 0.923; d1, d2, d3 and d4 are all preset proportionality coefficients;
step eight: when the unloading value is larger than the set unloading threshold value, generating an unloading instruction of the information to be unloaded;
step nine: the unloading analysis module sends an unloading instruction of the information to be unloaded to the unloading execution module;
and after receiving the unloading instruction of the information to be unloaded, the unloading execution module sends the corresponding information to be unloaded in the disk storage module to the server for storage, and simultaneously deletes the information from the disk storage module.
The registration login module is used for submitting personnel information to register by an operator corresponding to the industrial personal computer through the mobile phone terminal and sending the personnel information which is successfully registered to the disk storage module for storage; the personnel information comprises the name, the mobile phone number, the time of entry and the age of the operator;
the AI reasoning module is used for collecting and analyzing the disk information of the disk storage module, wherein the disk information comprises disk cleaning time, disk cleaning times and disk storage capacity; the specific analysis steps are as follows:
s1: acquiring a disk cleaning time closest to the current time of the system, and calculating the time difference between the current time of the system and the latest disk cleaning time to obtain a disk cleaning duration V1;
s2: acquiring the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, increasing the capacity frequency by one when the storage capacity is larger than a set threshold, counting the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, and acquiring the capacity frequency and marking the capacity frequency as V2;
s3: marking the number of times of disk cleaning as V3;
s4: extracting numerical values of disk cleaning duration, capacity times and disk cleaning times, and obtaining a cleaning value V of the disk storage module by using a formula V (V1) d5+ V2 d6+ V3 d7, wherein d5, d6 and d7 are all preset proportionality coefficients;
s5: when the clearing value V is larger than the set clearing threshold value, generating a clearing instruction; and the AI reasoning module sends the cleaning instruction to the disk cleaning module.
The disk cleaning module is used for cleaning the disk storage module, and the specific cleaning steps are as follows:
the method comprises the following steps: after receiving the cleaning instruction, the disk cleaning module generates a compression instruction and sends the compression instruction to the disk storage module;
step two: after the disk storage module receives the compression instruction, compressing the personnel information and the equipment information in the disk storage module, and simultaneously sending the personnel information to the disk cleaning module;
step three: the disk cleaning module analyzes the personnel information after receiving the personnel information, and the specific analysis steps are as follows:
SS 1: the operator is marked as Rh, h 1, 2, … …,10; calculating the time difference between the current time of the system and the time of the operator to obtain the time of the operator, and marking the time as LRh；
SS 2: set the age of the operator as NRh(ii) a Total number of operator cleanings PRh(ii) a The cleaning timeliness value of the operator is recorded as QRh(ii) a Extracting numerical values of age, total times of cleaning and time values;
SS 3: using formulas
Obtaining an operation kiss value G of an operatorRh(ii) a Wherein d8, d9 and d10 are all preset proportionality coefficients;
SS 4: selecting the operator with the largest coincidence value as the selected cleaning operator;
step four: the disk cleaning module sends a cleaning instruction and the position of the disk storage module to a mobile phone terminal of a selected cleaning person, and simultaneously sends the moment of sending the cleaning instruction and the position of the disk storage module to the server; the server receives the time for sending the cleaning instruction and the position of the disk storage module and starts timing;
step five: the selected cleaning personnel arrive at the position of the disk storage module and send a cleaning starting instruction through the mobile phone terminal, the disk cleaning module receives the cleaning starting instruction and then verifies the selected cleaning personnel, and when the verification is qualified, an execution starting instruction is generated and sent to the mobile phone terminal of the selected cleaning personnel;
step six: after receiving an execution starting instruction through a mobile phone terminal, a selected cleaning person connects a self-contained removable hard disk with a disk storage module;
step seven: the disk cleaning module cuts the compressed personnel information and the compressed equipment information into the removable hard disk for storage, then the disk cleaning module carries out formatting operation on the disk storage module, and after the operation is finished, the compressed personnel information and the compressed equipment information stored in the removable hard disk are cut into the disk storage module for decompression and storage; after the storage is finished, the disk storage module generates a finishing instruction and sends the finishing instruction to the server and the mobile phone terminal of the selected cleaning personnel;
step eight: when the mobile phone terminal of the selected cleaning personnel receives the completion instruction, the mobile hard disk is pulled out to be disconnected with the magnetic disk storage module; when the server receives the completion instruction, timing is stopped, and the total cleaning times of the selected personnel are increased by one; then, the time difference between the starting timing and the stopping timing is obtained to obtain the cleaning execution duration; when the cleaning execution time length is greater than a set execution threshold value, calculating a cleaning and time value, and setting the cleaning execution time length as X1; execution threshold is X2; obtaining a single-time execution value X of the selected cleaning personnel by using a formula X- (X1-X2) d 11; wherein d11 is a preset proportionality coefficient; summing all single execution values of the selected cleaning personnel to obtain a cleaning and time value Q of the selected cleaning personnelRh。
When the device is used, the data acquisition module acquires the storage time, the access times and the access time of the device information stored in the disk storage module, and the data acquisition module transmits the acquired access times and access time to the unloading analysis module; the unloading analysis module is used for analyzing and unloading the equipment information stored in the disk storage module, and calculating the time difference between the storage time corresponding to the equipment information of the mechanical equipment and the current time of the system to obtain the storage duration; when the storage duration is greater than a set threshold, marking the equipment information as information to be transferred; counting the access time, counting the time difference between the access starting time and the access ending time of each access time to obtain single access time length, summing all the single access time lengths to obtain total access time length, sequencing the access times according to the time sequence, calculating the access interval time length between two adjacent access times, summing all the access interval time lengths to obtain total interval time length, and extracting the values of the storage time length, the access times, the total access time length and the total interval time length of the information to be transferred; using formulas
Acquiring a dump value ZC of information to be dumpedPik(ii) a When unloadingIf the value is larger than the set unloading threshold value, generating an unloading instruction of the information to be unloaded; the unloading analysis module sends an unloading instruction of the information to be unloaded to the unloading execution module, and the unloading execution module sends the corresponding information to be unloaded in the disk storage module to the server for storage after receiving the unloading instruction of the information to be unloaded, and deletes the information from the disk storage module; the device information in the disk storage module is analyzed and calculated by transferring the stored value and reasonably sent to the server for storage, so that the storage space of the disk storage is reduced, and the operation of the operating system of the industrial personal computer is smoother; the AI inference module acquires and analyzes the disk information of the disk storage module, acquires a disk cleaning time closest to the current time of the system, calculates the time difference between the current time of the system and the latest disk cleaning time to obtain a disk cleaning time, acquires the daily storage capacity of the disk within a time range corresponding to the disk cleaning time, increases the capacity frequency by one when the storage capacity is greater than a set threshold value, counts the daily storage capacity of the disk within the time range corresponding to the disk cleaning time, extracts the numerical values of the disk cleaning time, the capacity frequency and the disk cleaning frequency, acquires a cleaning value V of the disk storage module by using a formula V1 d5+ V2 d6+ V3 d7, and generates a cleaning instruction when the cleaning value V is greater than the set cleaning threshold value; the AI reasoning module sends a cleaning instruction to the disk cleaning module, and the disk cleaning module is used for cleaning the disk storage module; the AI reasoning module is used for analyzing the cleaning value of the disk storage module, and the disk cleaning module is used for reasonably selecting corresponding operators to clean the disk storage module, so that the high-efficiency and reliable operation of the industrial personal computer is ensured.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (3)
1. An industrial control operating system with AI reasoning and accelerating computing power is characterized by comprising a data receiving module, a data acquisition module, a processor, an AI reasoning module, a disk cleaning module, a dump analysis module, a disk storage module, a dump execution module, a registration login module and a server;
the data receiving module is used for receiving equipment information of mechanical equipment connected with the industrial personal computer and sending the equipment information to the processor, and the equipment information comprises the name of the mechanical equipment, equipment data generated by the mechanical equipment and sending time; the processor receives the equipment information and sends the equipment information to the disk storage module for storage;
the data acquisition module is used for acquiring the storage time, the access times and the access time of the equipment information stored in the disk storage module, and the data acquisition module sends the acquired access times and access time to the unloading analysis module; the access time comprises an access starting time and an access ending time;
the unloading analysis module is used for analyzing the equipment information stored in the disk storage module and unloading the equipment information, and the method comprises the following specific steps:
the method comprises the following steps: marking mechanical equipment connected with an industrial personal computer as Pi, i is 1, 2, … … and n; marking the equipment information of the mechanical equipment as Pij, j is 1, 2, … …, n;
step two: calculating the time difference between the storage time corresponding to the equipment information of the mechanical equipment and the current time of the system to obtain the storage duration; when the storage duration is greater than a set threshold, marking the equipment information as information to be transferred;
marking the information to be transferred as Pik, k ∈ j, setting the storage time of the information to be transferred as TPik(ii) a Setting the number of access times of the information to be transferred as MPik；
Step four: counting the access time, and counting the time difference between the access starting time and the access ending time of each access time to obtain a listThe time length of the secondary access is obtained by summing all the time lengths of the single access to obtain the total access time length which is marked as FPik；
Step five: sequencing the access time according to the time sequence, calculating the access interval duration between two adjacent access times, summing all the access interval durations to obtain the total interval duration and marking as WPik；
Step six: extracting values of storage duration, access times, total access duration and total interval duration of the information to be transferred;
step seven: using formulas
Acquiring a dump value ZC of information to be dumpedPik(ii) a Wherein mu is a calibration factor, and the value of mu is 0.923; d1, d2, d3 and d4 are all preset proportionality coefficients;
step eight: when the unloading value is larger than the set unloading threshold value, generating an unloading instruction of the information to be unloaded;
step nine: the unloading analysis module sends an unloading instruction of the information to be unloaded to the unloading execution module;
and after receiving a transfer instruction of the information to be transferred, the transfer execution module sends the corresponding information to be transferred in the disk storage module to the server for storage, and simultaneously deletes the information from the disk storage module.
2. The industrial personal control operating system with the AI reasoning and accelerating computing capability as claimed in claim 1, wherein the registration login module is used for an operator corresponding to the industrial personal control computer to submit the personnel information through a mobile phone terminal for registration and send the personnel information successfully registered to the disk storage module for storage; the personnel information comprises the name, the mobile phone number, the time of entry and the age of the operator;
the AI reasoning module is used for collecting and analyzing the disk information of the disk storage module, wherein the disk information comprises disk cleaning time, disk cleaning times and disk storage capacity; the specific analysis steps are as follows:
s1: acquiring a disk cleaning time closest to the current time of the system, and calculating the time difference between the current time of the system and the latest disk cleaning time to obtain a disk cleaning duration V1;
s2: acquiring the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, increasing the capacity frequency by one when the storage capacity is larger than a set threshold, counting the daily storage capacity of the disk in the time range corresponding to the disk cleaning duration, and acquiring the capacity frequency and marking the capacity frequency as V2;
s3: marking the number of times of disk cleaning as V3;
s4: extracting numerical values of disk cleaning duration, capacity times and disk cleaning times, and obtaining a cleaning value V of the disk storage module by using a formula V (V1) d5+ V2 d6+ V3 d7, wherein d5, d6 and d7 are all preset proportionality coefficients;
s5: when the clearing value V is larger than the set clearing threshold value, generating a clearing instruction; and the AI reasoning module sends the cleaning instruction to the disk cleaning module.
3. The industrial control operating system with AI inference accelerating computing power of claim 1, wherein the disk cleaning module is configured to clean a disk storage module, and the specific cleaning steps are as follows:
the method comprises the following steps: after receiving the cleaning instruction, the disk cleaning module generates a compression instruction and sends the compression instruction to the disk storage module;
step two: after the disk storage module receives the compression instruction, compressing the personnel information and the equipment information in the disk storage module, and simultaneously sending the personnel information to the disk cleaning module;
step three: the disk cleaning module analyzes the personnel information after receiving the personnel information, and the specific analysis steps are as follows:
SS 1: the operator is marked as Rh, h ═ 1, 2, … …, 10; calculating the time difference between the current time of the system and the time of the operator to obtain the time of the operator, and marking the time as LRh；
SS 2: setting the age of the operatorIs marked as NRh(ii) a Total number of operator cleanings PRh(ii) a The cleaning timeliness value of the operator is recorded as QRh(ii) a Extracting numerical values of age, total times of cleaning and time values;
SS 3: using formulas
Obtaining an operation kiss value G of an operatorRh(ii) a Wherein d8, d9 and d10 are all preset proportionality coefficients;
SS 4: selecting the operator with the largest coincidence value as the selected cleaning operator;
step four: the disk cleaning module sends a cleaning instruction and the position of the disk storage module to a mobile phone terminal of a selected cleaning person, and simultaneously sends the moment of sending the cleaning instruction and the position of the disk storage module to the server; the server receives the time for sending the cleaning instruction and the position of the disk storage module and starts timing;
step five: the selected cleaning personnel arrive at the position of the disk storage module and send a cleaning starting instruction through the mobile phone terminal, the disk cleaning module receives the cleaning starting instruction and then verifies the selected cleaning personnel, and when the verification is qualified, an execution starting instruction is generated and sent to the mobile phone terminal of the selected cleaning personnel;
step six: after receiving an execution starting instruction through a mobile phone terminal, a selected cleaning person connects a self-contained removable hard disk with a disk storage module;
step seven: the disk cleaning module cuts the compressed personnel information and the compressed equipment information into the removable hard disk for storage, then the disk cleaning module carries out formatting operation on the disk storage module, and after the operation is finished, the compressed personnel information and the compressed equipment information stored in the removable hard disk are cut into the disk storage module for decompression and storage; after the storage is finished, the disk storage module generates a finishing instruction and sends the finishing instruction to the server and the mobile phone terminal of the selected cleaning personnel;
step eight: when the mobile phone terminal of the selected cleaning personnel receives the completion instruction, the mobile hard disk is pulled out to be connected with the magnetic diskThe disk storage module is disconnected; when the server receives the completion instruction, timing is stopped, and the total cleaning times of the selected personnel are increased by one; then, the time difference between the starting timing and the stopping timing is obtained to obtain the cleaning execution duration; when the cleaning execution time length is greater than a set execution threshold value, calculating a cleaning and time value, and setting the cleaning execution time length as X1; execution threshold is X2; obtaining a single-time execution value X of the selected cleaning personnel by using a formula X- (X1-X2) d 11; wherein d11 is a preset proportionality coefficient; summing all single execution values of the selected cleaning personnel to obtain a cleaning and time value Q of the selected cleaning personnelRh。
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