CN118079765A - Intelligent operation control system of multifunctional vertical mixer - Google Patents
Intelligent operation control system of multifunctional vertical mixer Download PDFInfo
- Publication number
- CN118079765A CN118079765A CN202410508032.6A CN202410508032A CN118079765A CN 118079765 A CN118079765 A CN 118079765A CN 202410508032 A CN202410508032 A CN 202410508032A CN 118079765 A CN118079765 A CN 118079765A
- Authority
- CN
- China
- Prior art keywords
- component
- character string
- component form
- digital
- digital character
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012544 monitoring process Methods 0.000 claims abstract description 53
- 230000006835 compression Effects 0.000 claims abstract description 37
- 238000007906 compression Methods 0.000 claims abstract description 37
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 20
- 238000013507 mapping Methods 0.000 claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 12
- 238000006243 chemical reaction Methods 0.000 claims description 18
- 238000012545 processing Methods 0.000 claims description 9
- 230000007613 environmental effect Effects 0.000 claims 1
- 230000005540 biological transmission Effects 0.000 description 5
- 238000003756 stirring Methods 0.000 description 3
- 230000002411 adverse Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000739 chaotic effect Effects 0.000 description 1
- 239000000470 constituent Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F35/00—Accessories for mixers; Auxiliary operations or auxiliary devices; Parts or details of general application
- B01F35/20—Measuring; Control or regulation
- B01F35/22—Control or regulation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F35/00—Accessories for mixers; Auxiliary operations or auxiliary devices; Parts or details of general application
- B01F35/20—Measuring; Control or regulation
- B01F35/21—Measuring
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
- B01F—MIXING, e.g. DISSOLVING, EMULSIFYING OR DISPERSING
- B01F35/00—Accessories for mixers; Auxiliary operations or auxiliary devices; Parts or details of general application
- B01F35/20—Measuring; Control or regulation
- B01F35/21—Measuring
- B01F35/211—Measuring of the operational parameters
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Chemical & Material Sciences (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses an intelligent operation control system of a multifunctional vertical mixer, which is characterized in that an operation monitoring module is arranged to collect and generate monitoring data of the mixer at the current moment, a component compression module preferentially determines a first component form and a second component form and carries out digital 0 and 1 association mapping based on all character formation forms contained in the monitoring data, and carries out first compression replacement after mapping is completed to obtain a plurality of component character strings, at the moment, a third component form and a fourth component form are respectively associated with the digital 0 and the digital 1 and carry out second compression replacement, in the process, 0 and 1 of the first compression replacement act as a flag bit in the second compression replacement, so that the last bit of each component data packet is compressed and replaced twice by using the digital 0 and the digital 1 in the mode, the data capacity required to be transmitted is greatly reduced.
Description
Technical Field
The invention relates to the technical field of mixers, in particular to an intelligent operation control system of a multifunctional vertical mixer.
Background
The multifunctional vertical stirrer equipment can realize forced convection and uniform mixing of liquid and gas media, is widely applied to the production fields of feed processing industry, food processing industry, medicines, chemical industry and the like, and further promotes the development of stirring technology, so that the data processing requirement in the operation process of the multifunctional vertical stirrer is higher and higher, a powerful data processing system is needed to support real-time analysis and processing of a large amount of data, and finally, reasons can be rapidly analyzed and adjusted when stirring uniformity is measured, and the output of stirring uneven products is reduced;
However, the multifunctional vertical mixer may have adverse factors such as strong magnetic field, high temperature, high humidity and the like in the operation process, so that the interference to the data transmission collected in the operation process of the multifunctional vertical mixer is easier, the data is lost, the further data processing system cannot timely receive the data, the data cannot be rapidly analyzed and the parameters of the multifunctional vertical mixer are not adjusted, and the timely and intelligent operation control of the multifunctional vertical mixer cannot be achieved;
in order to solve the above problems, the present invention proposes a solution.
Disclosure of Invention
The invention aims to provide an intelligent operation control system of a multifunctional vertical mixer, which aims to solve the problems that in the prior art, the multifunctional vertical mixer possibly has adverse factors such as a strong magnetic field, high temperature, high humidity and the like in the operation process, the data transmission acquired in the operation process of the multifunctional vertical mixer is easier to be interfered, the data is lost, the further data processing system cannot timely receive the data, the parameters of the multifunctional vertical mixer cannot be rapidly analyzed and adjusted, and the timely and intelligent operation control of the multifunctional vertical mixer cannot be achieved;
the aim of the invention can be achieved by the following technical scheme:
Multifunctional vertical mixer intelligent operation control system includes:
The operation monitoring module is used for collecting monitoring values of operation parameters and environment parameters of the mixer in the operation process in real time and generating monitoring data of the mixer at the current moment according to the monitoring values;
the component compression module is used for compressing the real-time monitoring data of the stirrer;
The component compression module divides data obtained by binary conversion of monitoring data of the mixer at the current moment into a plurality of combined numbers, traverses all the combined numbers, determines a first component form and a second component form based on character formation forms contained in all the combined numbers, and compresses the data according to a preset component compression rule to obtain all component data packets at the current moment.
Further, the preset component compression rule for generating all component data packets at the current moment is as follows:
S11: binary conversion is carried out on the monitoring data of the mixer at the current moment, and the converted data are recalibrated into conversion monitoring data of the mixer at the current moment;
s12: dividing conversion monitoring data and the like of a stirrer at the current moment into a combination numbers according to the sequence from left to right, wherein the character length of one combination number is 2;
S13: traversing a combination codes to respectively acquire the number of the combination codes corresponding to four character formation forms, and acquiring character formation forms corresponding to the combination codes of the first, second, third and fourth pluralities in number from the combination codes, wherein the character formation forms are respectively calibrated into a first component form, a second component form, a third component form and a fourth component form;
Establishing an association mapping between the combination codes corresponding to the first component form and the number 0, and establishing an association mapping between the combination codes corresponding to the second component form and the number 1;
s14: for conversion monitoring data of the stirrer at the current moment before cutting, marking all characters forming the conversion monitoring data as A1, A2, aa and a more than or equal to 1 according to the sequence from left to right;
Sequentially combining A1 with A2, A3 with A4, A, aa-1 and Aa in the order of A1, A2, A3, A4 to obtain [ a/2] group digital character strings B1, B2, B1, 2, [ a/2], wherein if a is an odd number, the character Aa is kept separate, and [ (] is a downward rounding function;
s15: generating component character strings C1, C2, cc according to a preset first generation rule;
s16: generating a compressed character string of the component character string C1 according to a preset second generation rule;
S17: sequentially calculating compressed character strings of the acquired component character strings C1, C2, cc according to S16;
The component compression module generates corresponding component data packets according to the generated component character strings C1, C2, the compression character strings of the third and the Cc, so that all the component data packets at the current moment are obtained.
Further, the number a of the combined numbers divided into the equal parts in the S12 is only four, namely, 00, 01, 10 and 11.
The invention has the beneficial effects that:
According to the invention, the monitoring data of the mixer at the current moment is generated by setting the monitoring values of the operation parameters and the environment parameters of the mixer in the operation process, the component compression module divides the data obtained by binary conversion of the monitoring data into a plurality of combined numbers, traverses all the combined numbers, preferentially determines a first component form and a second component form based on character composition forms contained in all the combined numbers, respectively carries out corresponding association mapping on the first component form and the second component form and numbers 0 and 1, carries out first compression replacement after the mapping is completed, obtains a plurality of component character strings, carries out corresponding association mapping on each component character string, at the moment, carries out second compression replacement after the mapping is completed to obtain all component data packets based on the current moment, and when the second compression replacement is carried out, the 0 and the 1 of the first compression replacement act as sign bits in the second compression replacement, so that the last bit of each component data packet can achieve the purposes of carrying out two chaotic replacement on the data by using the numbers 0 and 1, thus greatly reducing the transmission capacity of the data, reducing the transmission risk of the lost data, greatly reducing the transmission capacity of the lost data.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. 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.
As shown in fig. 1, the intelligent operation control system of the multifunctional vertical mixer comprises an operation monitoring module, a component compression module and a remote monitoring center;
the operation monitoring module is used for monitoring the operation parameters and the environment parameters of the mixer in the operation process and obtaining monitoring values of the operation parameters and the environment parameters in real time, and generating mixer monitoring data at the current moment according to the monitoring values, wherein in the embodiment, the mixer refers to a multifunctional vertical mixer;
The operation monitoring module transmits monitoring data of the mixer at the current moment to the component compression module;
the component compression module is used for carrying out component compression on the monitoring data of the stirrer, and after receiving the monitoring data of the stirrer at the current moment transmitted by the operation monitoring module, the component compression module carries out component compression on the monitoring data according to a preset component compression rule to generate component compression data of the stirrer at the current moment, wherein the specific component compression rule is as follows:
S11: binary conversion is carried out on the received monitoring data of the mixer at the current moment, and the converted data are recalibrated into conversion monitoring data of the mixer at the current moment;
s12: dividing conversion monitoring data and the like of a stirrer at the current moment into a combination numbers according to the sequence from left to right, wherein the character length of one combination number is 2;
It should be noted that, the number of a combined numbers divided equally is only four, and the number of the internal characters is 00, 01, 10 and 11 respectively;
S13: traversing a combination codes to respectively acquire the number of the combination codes corresponding to four character formation forms, and acquiring character formation forms corresponding to the combination codes of the first, second, third and fourth pluralities in number from the combination codes, wherein the character formation forms are respectively calibrated into a first component form, a second component form, a third component form and a fourth component form;
Establishing an association mapping between the combination codes corresponding to the first component form and the number 0, and establishing an association mapping between the combination codes corresponding to the second component form and the number 1;
s14: for conversion monitoring data of the stirrer at the current moment before cutting, marking all characters forming the conversion monitoring data as A1, A2, aa and a more than or equal to 1 according to the sequence from left to right;
Sequentially combining A1 with A2, A3 with A4, A, aa-1 and Aa in the order of A1, A2, A3, A4 to obtain [ a/2] group digital character strings B1, B2, B1, 2, [ a/2], wherein if a is an odd number, the character Aa is kept separate, and [ (] is a downward rounding function;
S15: the component strings C1, C2, and Cc are generated according to a preset first generation rule, specifically as follows:
S151: the digital character string B1 is matched with the first component form and the second component form in sequence in a consistency way, and the matching conditions are as follows:
SS1: if the digital character string B1 is the same as the first component form, acquiring the number 0 corresponding to the first component form and generating a component character string C1 according to the number 0, wherein the expression form of the component character string C1 in the programming field is c1= "0";
SS2: if the digital character string B1 is the same as the second component form, acquiring a number 1 corresponding to the second component form and generating a component character string C1 according to the number 1, wherein the expression form of the component character string C1 in the programming field is C1= "1";
SS3: if the digital character string B1 is different from the first component form and the second component form, consistency matching is carried out on B2 and the first component form and the second component form, and the matching is as follows:
If the digital character string B2 is identical to the first component form, acquiring a number 0 corresponding to the first component form, acquiring all digital character strings positioned in front of the digital character string B2, namely acquiring the digital character string B1 according to the sequence of the digital character strings B1, B2, the first component form and the second component form, and splicing the number 0 to the digital character string B1 to generate a component character string C1;
if the digital character string B2 is the same as the second component form, acquiring a number 1 corresponding to the second component form, acquiring all digital character strings positioned in front of the digital character string B2, namely acquiring the digital character string B1 according to the sequence of the digital character strings B1, B2, the number 2 and Bb, and splicing the number 1 to the digital character string B1 to generate a component character string C1;
If the digital character string B1 is different from the first component form and the second component form, sequentially performing consistency matching on the digital character string B1, the digital character string B2, the digital character string..and the digital character string Bb according to the steps of the digital character string B1, the digital character string B2, the digital character string..the first component form and the digital character string Bb according to the sequence of the digital character string B1, the digital character string B4, the digital character string Bb, the first component form and the digital character string B respectively correspond to the first component form and the second component form until a component character string C1 is generated;
S152: sequentially carrying out consistency matching on the digital character strings B1, B2, the sequence of the first component form and the second component form according to the sequence of the digital character strings B1, B2, the sequence of the second component form, B3, B4, the sequence of the first component form and the sequence of the second component form to generate all the component character strings, and sequentially marking the component character strings as C1, C2, the sequence of the first component form and the sequence of the second component form according to the generated sequence, wherein C is more than or equal to 1;
Here, when the component strings C2, C, cc are generated, the already spliced digital strings are not repeatedly spliced;
S16: the compressed character string of the component character string C1 is generated according to a preset second generation rule, and the method specifically comprises the following steps:
S161: judging the component character string C1, if the number of characters forming the component character string C1 is 1, not performing any processing, otherwise, obtaining a plurality of internal component character strings by two-to-two for the first D-1 characters forming the component character string C1 according to the sequence from left to right, and marking the internal component character strings as D1, D2, de, e=1, 2, and (D-1)/2 in sequence;
Here, the two-by-two characters are also in the order from left to right, and d is the total number of characters constituting the component character string C1;
S162: at the moment, carrying out association mapping on the third component form and the number 0, and carrying out association mapping on the fourth component form and the number 1;
S163: sequentially carrying out consistency matching on the internal component character strings D1, D2, the third component form and the fourth component form according to the sequence of the internal component character strings D1, D2, the right and the De, replacing the internal component character strings which are the same as the third component form with a number 0, and replacing the internal component character strings which are the same as the fourth component form with a number 1;
s164: after the replacement is completed, splicing the numbers corresponding to the replacement according to the sequence of the internal component character strings D1, D2 and De to obtain a compressed character string of the component character string C1;
S17: sequentially calculating compressed character strings of the acquired component character strings C1, C2, cc according to S16;
The component compression module generates corresponding component data packets according to the generated compression character strings of the component character strings C1, C2, the compression character strings of the component character strings C.A., C.and C.respectively, and transmits character formation forms corresponding to all the component data packets, the first component form, the second component form, the third component form and the fourth component form to a remote monitoring center;
if a is odd, generating an independent data packet according to the character Aa and transmitting the independent data packet to the remote monitoring center
It should be noted that, each component data packet includes a subscript of its corresponding component string at the same time;
The remote monitoring center is used for remotely monitoring the operation parameters and the environment parameters of the stirrer in the operation process;
The remote monitoring center receives all character formation forms corresponding to the component data packets, the first component form, the second component form, the third component form and the fourth component form transmitted by the component compression module, and then restores the character formation forms according to preset restoration rules to obtain the monitoring data of the stirrer at the current moment, wherein the preset restoration rules are as follows:
s21: for a received component data packet, extracting a corresponding component character string from the received component data packet, and replacing the first f-1 characters forming the component character string based on character forming forms corresponding to a third component form and a fourth component form, wherein the replacement rule is as follows: replacing the number 0 with a character formation form corresponding to the third component form, replacing the number 1 with a character formation form corresponding to the fourth component form, and f is the total number of characters forming the component character string;
Here, the first f-1 characters are in the order from left to right;
S22: after the replacement is completed, the last character forming the component character string is obtained according to the sequence from left to right, if the last character forming the component character string is 0, the character is replaced by a character forming form corresponding to the first component form, and if the last character forming the component character string is 1, the character is replaced by a character forming form corresponding to the second component form;
S23: after replacing all the characters in the component character string, splicing all the character constituent forms according to the positions of the corresponding characters in the component character string and the sequence from left to right to obtain a restoring character string of the component data packet;
S24: sequentially restoring according to S21 to S23 to obtain restoring character strings of all component data packets, splicing all restoring character strings according to the sequence from the lower index to the higher index carried in each component data packet, and restoring according to the spliced data to obtain the monitoring data of the stirrer at the current moment;
if the independent data packet is received, when all the restoring character strings are spliced, the characters carried in the independent data packet are taken out and spliced at the rightmost end, and the current time of the monitoring data of the stirrer is restored;
The remote monitoring center displays the monitoring data of the stirrer at the current moment to monitoring personnel of the center for checking;
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (8)
1. Multifunctional vertical mixer intelligent operation control system, its characterized in that includes:
The operation monitoring module is used for collecting monitoring values of operation parameters and environment parameters of the mixer in the operation process in real time and generating monitoring data of the mixer at the current moment according to the monitoring values;
the component compression module is used for compressing the real-time monitoring data of the stirrer;
the component compression module divides data obtained by binary conversion of monitoring data of the mixer at the current moment into a plurality of combined numbers, traverses all the combined numbers, determines a first component form and a second component form based on character formation forms contained in all the combined numbers, and compresses the data according to a preset component compression rule to obtain all component data packets at the current moment. The preset component compression rule for generating all component data packets at the current moment is as follows:
S11: binary conversion is carried out on the monitoring data of the mixer at the current moment, and the converted data are recalibrated into conversion monitoring data of the mixer at the current moment;
s12: dividing conversion monitoring data and the like of a stirrer at the current moment into a combination numbers according to the sequence from left to right, wherein the character length of one combination number is 2;
S13: traversing a combination codes to respectively acquire the number of the combination codes corresponding to four character formation forms, and acquiring character formation forms corresponding to the combination codes of the first, second, third and fourth pluralities in number from the combination codes, wherein the character formation forms are respectively calibrated into a first component form, a second component form, a third component form and a fourth component form;
Establishing an association mapping between the combination codes corresponding to the first component form and the number 0, and establishing an association mapping between the combination codes corresponding to the second component form and the number 1;
s14: for conversion monitoring data of the stirrer at the current moment before cutting, marking all characters forming the conversion monitoring data as A1, A2, aa and a more than or equal to 1 according to the sequence from left to right;
Sequentially combining A1 and A2, A3 and A4, and Aa-1 and Aa in the order of A1, A2, and Aa to obtain [ a/2] group digital character strings B1, B2, bb, B-1, 2, and Aa, [ a/2], wherein if a is an odd number, the characters Aa remain separate, [ ] are a downward rounding function;
s15: generating component character strings C1, C2, cc according to a preset first generation rule;
s16: generating a compressed character string of the component character string C1 according to a preset second generation rule;
S17: sequentially calculating compressed character strings of the acquired component character strings C1, C2, cc according to S16;
The component compression module generates corresponding component data packets according to the generated component character strings C1, C2, the compression character strings of the third and the Cc, so that all the component data packets at the current moment are obtained.
2. The intelligent operation control system of the multifunctional vertical mixer according to claim 1, wherein the number of the a combined numbers divided into the S12 is only four, and the number of the internal characters is respectively 00, 01, 10 and 11.
3. The intelligent operation control system of a multifunctional stand mixer according to claim 1, wherein the S15, the preset first generation rules for generating component strings C1, C2, cc are as follows:
S151: the digital character string B1 is matched with the first component form and the second component form in sequence in a consistency way, and the matching conditions are as follows:
SS1: if the digital character string B1 is the same as the first component form, acquiring the number 0 corresponding to the first component form and generating a component character string C1 according to the number 0, wherein the expression form of the component character string C1 in the programming field is c1= "0";
SS2: if the digital character string B1 is the same as the second component form, acquiring a number 1 corresponding to the second component form and generating a component character string C1 according to the number 1, wherein the expression form of the component character string C1 in the programming field is C1= "1";
SS3: if the digital character string B1 is different from the first component form and the second component form, consistency matching is carried out on B2 and the first component form and the second component form, and the matching is as follows:
If the digital character string B2 is identical to the first component form, acquiring a number 0 corresponding to the first component form, acquiring all digital character strings positioned in front of the digital character string B2, namely acquiring the digital character string B1 according to the sequence of the digital character strings B1, B2, the first component form and the second component form, and splicing the number 0 to the digital character string B1 to generate a component character string C1;
if the digital character string B2 is the same as the second component form, acquiring a number 1 corresponding to the second component form, acquiring all digital character strings positioned in front of the digital character string B2, namely acquiring the digital character string B1 according to the sequence of the digital character strings B1, B2, the number 2 and Bb, and splicing the number 1 to the digital character string B1 to generate a component character string C1;
If the digital character string B1 is different from the first component form and the second component form, sequentially performing consistency matching on the digital character string B1, the digital character string B2, the digital character string..and the digital character string Bb according to the steps of the digital character string B1, the digital character string B2, the digital character string..the first component form and the digital character string Bb according to the sequence of the digital character string B1, the digital character string B4, the digital character string Bb, the first component form and the digital character string B respectively correspond to the first component form and the second component form until a component character string C1 is generated;
S152: and according to the step of S151, sequentially carrying out consistency matching on the digital character strings B1, B2, the sequence of the first component form and the second component form, and sequentially marking the digital character strings B3, B4, the sequence of the second component form and the first component form as C1, C2, the sequence of the first component form and the second component form as Cc, and C is more than or equal to 1.
4. The intelligent operation control system for a multifunctional stand mixer according to claim 1, wherein the S16, the preset second generation rule of the compressed string for generating the component string C1 is as follows:
S161: judging the component character string C1, if the number of characters forming the component character string C1 is 1, not performing any processing, otherwise, obtaining a plurality of internal component character strings by two-to-two for the first D-1 characters forming the component character string C1 according to the sequence from left to right, and marking the internal component character strings as D1, D2, de, e=1, 2, and (D-1)/2 in sequence;
S162: at the moment, carrying out association mapping on the third component form and the number 0, and carrying out association mapping on the fourth component form and the number 1;
S163: sequentially carrying out consistency matching on the internal component character strings D1, D2, the third component form and the fourth component form according to the sequence of the internal component character strings D1, D2, the right and the De, replacing the internal component character strings which are the same as the third component form with a number 0, and replacing the internal component character strings which are the same as the fourth component form with a number 1;
S164: after the replacement is completed, the numbers corresponding to the replacement are spliced according to the sequence of the internal component strings D1, D2, &..de to obtain a compressed string of the component string C1.
5. The intelligent operation control system of a multifunctional vertical mixer of claim 1 further comprising a remote monitoring center for remotely monitoring operational and environmental parameters of the mixer during operation.
6. The intelligent operation control system of the multifunctional vertical mixer according to claim 1, wherein the component compression module transmits all component data packets, the first component form, the second component form, the third component form and the character formation form corresponding to the fourth component form at the current moment to the remote monitoring center together.
7. The intelligent operation control system of the multifunctional vertical mixer according to claim 1, wherein each component data packet contains the subscript of the corresponding component character string.
8. The intelligent operation control system of the multifunctional vertical mixer according to claim 7, wherein the remote monitoring center receives all component data packets, character formation forms corresponding to the first component form, the second component form, the third component form and the fourth component form at the current moment, and restores the character formation forms according to a preset restoration rule to obtain the monitoring data of the mixer at the current moment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410508032.6A CN118079765B (en) | 2024-04-25 | 2024-04-25 | Intelligent operation control system of multifunctional vertical mixer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410508032.6A CN118079765B (en) | 2024-04-25 | 2024-04-25 | Intelligent operation control system of multifunctional vertical mixer |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN118079765A true CN118079765A (en) | 2024-05-28 |
| CN118079765B CN118079765B (en) | 2024-07-19 |
Family
ID=91149427
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202410508032.6A Active CN118079765B (en) | 2024-04-25 | 2024-04-25 | Intelligent operation control system of multifunctional vertical mixer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN118079765B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118316967A (en) * | 2024-06-05 | 2024-07-09 | 苏州悦涵环保科技有限公司 | Water quality on-line monitoring system for environment monitoring |
| CN118407960A (en) * | 2024-07-03 | 2024-07-30 | 山东海德尼克液压科技有限公司 | Intelligent control method and system for hydraulic valve with performance on-line monitoring function |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4482970A (en) * | 1981-11-06 | 1984-11-13 | Grumman Aerospace Corporation | Boolean filtering method and apparatus |
| JPS63275277A (en) * | 1987-05-06 | 1988-11-11 | Nec Yamagata Ltd | Compression method for graphic data |
| KR20130015798A (en) * | 2011-08-05 | 2013-02-14 | 고려대학교 산학협력단 | Apparatus and method for encoding/coding data |
| CN105790853A (en) * | 2014-12-26 | 2016-07-20 | 北京奇虎科技有限公司 | Method and device for transmitting character data through sound wave |
| CN106681968A (en) * | 2016-12-21 | 2017-05-17 | 桂林力港网络科技股份有限公司 | Transmitting method for batch numeric data, receiving terminal and sending terminal |
| CN107153647A (en) * | 2016-03-02 | 2017-09-12 | 奇简软件（北京）有限公司 | Carry out method, device, system and the computer program product of data compression |
| CN107817751A (en) * | 2017-11-23 | 2018-03-20 | 广东惠利普路桥信息工程有限公司 | A kind of mixing plant managing and control system |
| CN111885125A (en) * | 2020-07-07 | 2020-11-03 | 普华云创科技(北京)有限公司 | Data transmission method, system and computer readable storage medium for end-to-end network |
| CA3137637A1 (en) * | 2020-11-04 | 2022-05-04 | 10353744 Canada Ltd. | Character string detecting method and device, computer equipment and storage medium |
| CN117767543A (en) * | 2023-11-27 | 2024-03-26 | 国网冀北电力有限公司智能配电网中心 | Regional power grid distribution method based on new energy consumption |
-
2024
- 2024-04-25 CN CN202410508032.6A patent/CN118079765B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4482970A (en) * | 1981-11-06 | 1984-11-13 | Grumman Aerospace Corporation | Boolean filtering method and apparatus |
| JPS63275277A (en) * | 1987-05-06 | 1988-11-11 | Nec Yamagata Ltd | Compression method for graphic data |
| KR20130015798A (en) * | 2011-08-05 | 2013-02-14 | 고려대학교 산학협력단 | Apparatus and method for encoding/coding data |
| CN105790853A (en) * | 2014-12-26 | 2016-07-20 | 北京奇虎科技有限公司 | Method and device for transmitting character data through sound wave |
| CN107153647A (en) * | 2016-03-02 | 2017-09-12 | 奇简软件（北京）有限公司 | Carry out method, device, system and the computer program product of data compression |
| CN106681968A (en) * | 2016-12-21 | 2017-05-17 | 桂林力港网络科技股份有限公司 | Transmitting method for batch numeric data, receiving terminal and sending terminal |
| CN107817751A (en) * | 2017-11-23 | 2018-03-20 | 广东惠利普路桥信息工程有限公司 | A kind of mixing plant managing and control system |
| CN111885125A (en) * | 2020-07-07 | 2020-11-03 | 普华云创科技(北京)有限公司 | Data transmission method, system and computer readable storage medium for end-to-end network |
| CA3137637A1 (en) * | 2020-11-04 | 2022-05-04 | 10353744 Canada Ltd. | Character string detecting method and device, computer equipment and storage medium |
| CN117767543A (en) * | 2023-11-27 | 2024-03-26 | 国网冀北电力有限公司智能配电网中心 | Regional power grid distribution method based on new energy consumption |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118316967A (en) * | 2024-06-05 | 2024-07-09 | 苏州悦涵环保科技有限公司 | Water quality on-line monitoring system for environment monitoring |
| CN118316967B (en) * | 2024-06-05 | 2024-09-10 | 苏州悦涵环保科技有限公司 | Water quality on-line monitoring system for environment monitoring |
| CN118407960A (en) * | 2024-07-03 | 2024-07-30 | 山东海德尼克液压科技有限公司 | Intelligent control method and system for hydraulic valve with performance on-line monitoring function |
Also Published As
| Publication number | Publication date |
|---|---|
| CN118079765B (en) | 2024-07-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN118079765B (en) | Intelligent operation control system of multifunctional vertical mixer | |
| CN109676795B (en) | Concrete intelligent stirring control method and system | |
| CN108347095B (en) | Simulation test method and system for background monitoring system of transformer substation | |
| CN115757124A (en) | Test case generation method based on neural network | |
| EP0026267B1 (en) | Method and apparatus for compressing and decompressing strings of electrical binary data bits | |
| CN117217020A (en) | Industrial model construction method and system based on digital twin | |
| CN106445768A (en) | Method and system for testing production of mobile terminal | |
| CN112988914B (en) | Block chain-based textile detection method and device and network side server | |
| CN114548801A (en) | Production equipment debugging management system based on Internet of things | |
| CN212367291U (en) | Internet of things terminal test system | |
| CN117033278B (en) | Data transmission method and system for multiple types of interfaces | |
| CN111355635B (en) | Online detection method and detection system for product performance of Internet of things | |
| CN117221354A (en) | Multi-source heterogeneous data real-time acquisition, storage and analysis method and system | |
| CN112101125A (en) | Method and device for detecting stacking degree of express goods | |
| CN113794527B (en) | Adaptive frame length wired telemetry forwarding system and self-checking method for deep space exploration circulator | |
| CN112948277B (en) | Fuzzy test case generation system and method based on coupling self-encoder | |
| CN112888013B (en) | System and method for testing radio frequency parameter consistency of zigbee | |
| CN115348320A (en) | Communication data conversion method and device and electronic equipment | |
| CN117834300B (en) | Interactive system based on platform information data of Internet of things | |
| CN113473212B (en) | Digital television display method with both unidirectional broadcast network and bidirectional communication network | |
| CN114666406B (en) | Electric power Internet of things data compression method and device based on object model | |
| CN117614900B (en) | Data transmission method and system for intelligent security system | |
| CN116980054B (en) | Ultrashort wave signal testing system and method | |
| CN112911086B (en) | Classification control method and device for batch video processing equipment | |
| CN117435922A (en) | Method and device for assisting machine learning application to generate network flow data set |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |