CN112645334A - Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal - Google Patents
Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal Download PDFInfo
- Publication number
- CN112645334A CN112645334A CN202011519647.7A CN202011519647A CN112645334A CN 112645334 A CN112645334 A CN 112645334A CN 202011519647 A CN202011519647 A CN 202011519647A CN 112645334 A CN112645334 A CN 112645334A
- Authority
- CN
- China
- Prior art keywords
- information
- furnace
- reduction furnace
- started
- electric quantity
- 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
Images
Classifications
-
- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01B—NON-METALLIC ELEMENTS; COMPOUNDS THEREOF; METALLOIDS OR COMPOUNDS THEREOF NOT COVERED BY SUBCLASS C01C
- C01B33/00—Silicon; Compounds thereof
- C01B33/02—Silicon
- C01B33/021—Preparation
- C01B33/027—Preparation by decomposition or reduction of gaseous or vaporised silicon compounds other than silica or silica-containing material
- C01B33/035—Preparation by decomposition or reduction of gaseous or vaporised silicon compounds other than silica or silica-containing material by decomposition or reduction of gaseous or vaporised silicon compounds in the presence of heated filaments of silicon, carbon or a refractory metal, e.g. tantalum or tungsten, or in the presence of heated silicon rods on which the formed silicon is deposited, a silicon rod being obtained, e.g. Siemens process
Landscapes
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Inorganic Chemistry (AREA)
- Silicon Compounds (AREA)
Abstract
The invention discloses a furnace starting prediction method, a system, a storage medium and a terminal of a polycrystalline silicon reduction furnace, wherein the method comprises the steps of acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of reduction furnaces in operation in real time, acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of reduction furnaces to be started, and selectively setting the furnace starting time information and the operation cycle information according to actual production requirements in combination with a peak-valley flat electricity price table; and performing material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result. The invention can accurately acquire the real-time material consumption of the running reduction furnace, and reduce the electric power cost while ensuring that the production raw materials meet the furnace starting condition.
Description
Technical Field
The invention relates to the technical field of polycrystalline silicon production, in particular to a furnace start prediction method, a furnace start prediction system, a storage medium and a terminal of a polycrystalline silicon reduction furnace.
Background
In the production process of polycrystalline silicon, the balance measurement of the stock of production raw materials, the real-time yield and the consumption and the measurement of the power load of a transformer need to be considered before starting the reduction furnace, a furnace starting plan can be made only under the condition that the feeding amount of the production raw materials and the power load meet the operation conditions, and the factors which need to be considered when the furnace starting plan is made are different due to different corresponding electricity prices in different time periods. Therefore, before starting the reduction furnace, the stock of production raw materials and the electricity consumption need to be predicted and calculated, so that the production raw materials are ensured to meet the starting condition, and the electricity cost is reduced.
In the traditional furnace starting prediction, the storage quantity of the raw materials for furnace starting production and the electricity consumption are calculated through manual meter reading and an electronic table, the method is influenced by the timeliness of data sources and a calculation mode, and the calculation result can only be used as reference. Due to the operation characteristics of the reduction furnace, the fluctuation of raw material consumption, power and electricity consumption is large in the previous hour of the operation of the reduction furnace, so that the timeliness requirement on data of real-time storage and consumption is high, manual meter reading and data statistics are delayed, the calculation result is possibly not in accordance with reality, and particularly when the number of reduction furnaces is large, the method is not applicable and has no guiding significance on actual production.
Disclosure of Invention
The invention aims to solve the problem that the furnace starting condition of a reduction furnace to be started cannot be accurately calculated in the prior art, and provides a furnace starting prediction method, a furnace starting prediction system, a storage medium and a terminal of a polycrystalline silicon reduction furnace.
The purpose of the invention is realized by the following technical scheme: the method for predicting the furnace start of the polycrystalline silicon reduction furnace comprises the following steps:
a data acquisition step: acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, and acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started;
a judging step: and performing material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
As an option, the method further comprises performing the steps of: and if the reduction furnace to be started meets the starting condition, controlling the reduction furnace to be started to start working according to the starting time information.
As an option, the material consumption information includes trichlorosilane consumption information and hydrogen consumption information.
As an option, the yield information includes yield information of trichlorosilane and/or yield information of hydrogen.
As an option, the material consumption balance calculation specifically includes: judging that the difference value of the material consumption corresponding to each time period is subtracted from the sum of the stock of all the material tanks and the yield of the reducing furnace in operation, if the difference value of the material consumption is larger than zero, the reducing furnace to be started meets the starting condition of the production raw materials, otherwise, the starting condition of the production raw materials is not met;
as an option, the power balance calculation specifically includes: counting the electric quantity consumption information in each unit time period in the operation period of the reduction furnace to be started; and comparing the difference value between the transformer load in each unit time period and the electric quantity consumption in the corresponding unit time period, wherein if the difference value of the electric quantity consumption is larger than zero, the reduction furnace to be started meets the electric quantity start condition, otherwise, the reduction furnace does not meet the electric quantity start condition.
It should be further noted that the technical features corresponding to the above-mentioned method options can be combined with each other or replaced to form a new technical solution.
The invention also comprises a furnace start prediction system of the polycrystalline silicon reduction furnace, wherein the system comprises a data acquisition unit and a main control unit, and the output end of the data acquisition unit is connected with the main control unit; the data acquisition unit is used for acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, and acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started; the main control unit is used for carrying out material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
As an option, the system further comprises an execution unit, and the output end of the main control unit is connected with the execution unit; the execution unit is used for starting to work according to the control instruction of the main control unit so as to enable the reduction furnace to be started to work.
It should be further noted that the technical features corresponding to the above-mentioned system options can be combined with each other or replaced to form a new technical solution.
The invention also comprises a storage medium, which stores computer instructions, and the computer instructions are used for executing the steps of the furnace starting prediction method of the polysilicon reduction furnace when in operation.
The invention also comprises a terminal which comprises a memory and a processor, wherein the memory is stored with computer instructions capable of running on the processor, and the processor executes the steps of the furnace starting prediction method of the polycrystalline silicon reduction furnace when running the computer instructions.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, by acquiring the material consumption information and the electric quantity consumption information of each reduction furnace in unit time, acquiring the stock information of all material tanks and the yield information of the reduction furnace in operation in real time, and the furnace starting time information, the time sequence material consumption table information and the operation cycle information of the reduction furnace to be started, the real-time material consumption of the reduction furnace in operation, the materials required in the residual growth cycle and the like can be accurately obtained, and the materials meeting the requirements and the storage can be supplied according to the actual requirements; furthermore, the material consumption balance and the electric quantity balance are calculated according to the information, so that the accurate calculation of the furnace starting condition of the reduction furnace to be started is realized, the power cost can be greatly reduced when the production raw materials meet the furnace starting condition, and the method has guiding significance for the actual production of the whole polycrystalline silicon reduction furnace.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention.
FIG. 1 is a flowchart of a method of example 1 of the present invention;
FIG. 2 is a flowchart of a method of example 1 of the present invention;
fig. 3 is a system block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that directions or positional relationships indicated by "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", and the like are directions or positional relationships described based on the drawings, and are only for convenience of description and simplification of description, and do not indicate or imply that the device or element referred to must have a specific orientation, be configured and operated in a specific orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly stated or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
Example 1
As shown in fig. 1 to 2, in embodiment 1, the method for predicting the start-up of the polycrystalline silicon reduction furnace specifically includes the following steps:
s01: a data acquisition step: acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started, and selectively setting the furnace starting time information and the operation cycle information of the reduction furnaces to be started according to actual production requirements in combination with a peak-valley flat electricity price table; the material consumption information comprises trichlorosilane consumption information and hydrogen consumption information; the yield information comprises trichlorosilane yield information and/or hydrogen yield information, and trichlorosilane and/or hydrogen prepared by other production systems (production systems for preparing trichlorosilane and/or hydrogen) are input into the reduction furnace as raw materials after being pretreated.
S02: a judging step: and performing material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
Specifically, in step S01, the unit time may be every hour or every half hour or every minute, and is preferably 1 hour in the present embodiment. The material consumption information and the electric quantity consumption information of each reduction furnace in unit time can be obtained by theoretical calculation according to the volume and other parameter data of each reduction furnace, and also can be obtained by statistics according to actual big data, and then the material consumption information and the electric quantity consumption information are preset to the main control unit for storage. And (3) selectively setting the furnace starting time information and the operation cycle information of the furnace starting reduction furnace according to actual production requirements, such as production stop time and a peak-valley flat electricity price table, and preferably selecting a time period corresponding to the trough electricity price according to the furnace starting time and the operation cycle on the basis of meeting the production requirements.
More specifically, before the main control unit performs the judgment, the corresponding time-sequence material consumption table including the consumed electric quantity is filled into a list according to the input furnace starting time information of the furnace reduction furnace to be started, and an operation cycle is filled from the time point of predicting the furnace starting time. The time sequence material consumption meter comprises material consumption and electric quantity consumption information of each stage in the operation process. The stock information of all the charging tanks can be acquired by arranging corresponding sensors in the charging tanks or at the inlet and the outlet of the charging tanks, for example, a liquid level meter is arranged in the trichlorosilane tank, and a gas flow meter is arranged at the inlet and the outlet of the hydrogen tank to acquire data. Similarly, the yield information of each reduction furnace can be acquired in real time by arranging corresponding sensors in corresponding discharge ports or product storage devices.
According to the invention, by acquiring the material consumption information and the electric quantity consumption information of each reduction furnace in unit time, acquiring the stock information of all material tanks and the yield information of the reduction furnace in operation in real time, and the furnace starting time information, the time sequence material consumption table information and the operation cycle information of the reduction furnace to be started, the real-time material consumption of the reduction furnace in operation, the materials required in the residual growth cycle and the like can be accurately obtained, and the materials meeting the requirements and the storage can be supplied according to the actual requirements; furthermore, the material consumption balance and the electric quantity balance are calculated according to the information, so that the accurate calculation of the furnace starting condition of the reduction furnace to be started is realized, the power cost can be greatly reduced when the production raw materials meet the furnace starting condition, and the method has guiding significance for the actual production of the whole polycrystalline silicon reduction furnace.
Further, the method further comprises performing the steps of:
s03: and if the reduction furnace to be started meets the starting condition, controlling the reduction furnace to be started to start working according to the starting time information. The control of the reduction furnace to be started to start working comprises the steps of manually controlling the reduction furnace to start working or automatically controlling the reduction furnace to start working or combining the two steps (semi-automatic). Specifically, when the reducing furnace is automatically controlled to start working, the main control unit opens the trichlorosilane feeding valve and the hydrogen feeding valve corresponding to the reducing furnace to be started in corresponding time, and controls a contactor or a relay on a power circuit of the reducing furnace to be closed, so that a reducing furnace system is electrified. More specifically, the semi-automatic control of the furnace start of the reduction furnace comprises the step that the main control unit sends information to be started, including the furnace number, the furnace start time, the operation cycle information and the like of the current reduction furnace, to a DCS subsystem corresponding to the current reduction furnace, so as to guide field operators to carry out production scheduling.
Further, the material consumption balance calculation in step S02 is specifically:
s021: judging that the difference value of the material consumption corresponding to each time period is subtracted from the sum of the stock of all the material tanks and the yield of the reducing furnace in operation, if the difference value of the material consumption is larger than zero, the reducing furnace to be started meets the starting condition of the production raw materials, otherwise, the starting condition of the production raw materials is not met;
further, the electric quantity balance calculation in step S02 specifically includes:
s022: counting the electric quantity consumption information in each unit time period in the operation period of the reduction furnace to be started;
s023: and comparing the transformer load in each unit time period with the difference value of the electric quantity consumption in the corresponding unit time period, wherein if the difference value of the electric quantity consumption is larger than zero, the reduction furnace to be started meets the electric quantity start condition, otherwise, the reduction furnace does not meet the electric quantity start condition. Specifically, if the difference between the electric quantity consumptions is greater than zero, it indicates that the transformer can meet the electric quantity loads of the reduction furnace currently in operation and the reduction furnace to be started within the preset operation period.
Example 2
The embodiment has the same inventive concept as the embodiment 1, and provides a furnace start prediction system of a polysilicon reduction furnace on the basis of the embodiment 1. Specifically, the data acquisition unit is used for acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, and acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started; the main control unit is used for carrying out material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
As an embodiment, the data acquisition unit includes a liquid level meter disposed in the trichlorosilane tank and a gas flow meter disposed at an outlet end of the hydrogen tank to acquire stock information in the trichlorosilane tank and the hydrogen tank. The data acquisition unit further comprises a liquid level meter arranged in the trichlorosilane storage tank and a gas flow meter arranged at the inlet end of the hydrogen storage tank so as to acquire output information of trichlorosilane and hydrogen. Furthermore, the data acquisition unit further comprises an electric quantity data acquisition unit which can be a micro camera to acquire electric quantity information displayed on the electric quantity and transmit the electric quantity information to the main control unit, so that the acquisition of the electric quantity consumption information is realized. As a preferred option, the main control unit is connected with a communication unit, and the communication unit is in wireless communication connection with the electric meter system and/or the three-party platform so as to acquire real-time electric quantity consumption information through the electric meter system or the three-party platform.
According to the invention, the material consumption information and the electric quantity consumption information of each reduction furnace in unit time are obtained through the data acquisition unit, the stock information of all material tanks and the yield information of the reduction furnace in operation are acquired in real time, and the furnace starting time information, the time sequence material consumption table information and the operation cycle information of the reduction furnace to be started are acquired, so that the real-time material consumption of the reduction furnace in operation, the materials required in the residual growth cycle and the like can be accurately acquired, and the materials meeting the requirements and the storage can be supplied according to the actual requirements; furthermore, the main control unit carries out material consumption balance and electric quantity balance calculation according to the information acquired by the data acquisition unit, so that accurate calculation of the furnace starting condition of the reduction furnace to be started is realized, the power cost can be greatly reduced when the production raw materials meet the furnace starting condition, and the main control unit has guiding significance for the actual production of the whole polycrystalline silicon reduction furnace.
Furthermore, the system also comprises an execution unit, and the output end of the main control unit is connected with the execution unit; specifically, the execution unit is used for starting to work according to the control instruction of the main control unit so as to enable the reduction furnace to be started to work. More specifically, the execution unit comprises a trichlorosilane feeding valve and a hydrogen feeding valve of the furnace reduction furnace to be started, and a contactor or a relay on a power circuit of the furnace reduction furnace to be started.
Furthermore, the system also comprises a human-computer interaction unit which is used for inputting furnace starting time information and operation period information of reduction of the furnace to be started, displaying the operation state of each reduction furnace and the like, and preferably selecting HMI.
Furthermore, the system also comprises a DCS subsystem, wherein the main control unit is in communication and bidirectional connection with the DCS subsystem and is used for transmitting the information to be started sent by the main control unit to the DCS subsystem so as to guide field operators to carry out production scheduling. The furnace starting information comprises the furnace number, the furnace starting time, the operation cycle information and the like of the current reduction furnace.
Example 3
The present embodiment provides a storage medium, having the same inventive concept as embodiment 1, and having stored thereon computer instructions, which when executed, perform the steps of the furnace start-up prediction method of the polysilicon reduction furnace in embodiment 1.
Based on such understanding, the technical solution of the present embodiment or parts of the technical solution may be essentially implemented in the form of a software product, which is stored in a storage medium and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method of the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Example 4
The present embodiment also provides a terminal, which has the same inventive concept as that of embodiment 1, and includes a memory and a processor, wherein the memory stores computer instructions executable on the processor, and the processor executes the steps of the method for predicting the furnace start-up of the polysilicon reduction furnace in embodiment 1 when executing the computer instructions. The processor may be a single or multi-core central processing unit or a specific integrated circuit, or one or more integrated circuits configured to implement the present invention.
Each functional unit in the embodiments provided by the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit.
The above detailed description is for the purpose of describing the invention in detail, and it should not be construed that the detailed description is limited to the description, and it will be apparent to those skilled in the art that various modifications and substitutions can be made without departing from the spirit of the invention.
Claims (10)
1. A furnace start prediction method of a polycrystalline silicon reduction furnace is characterized by comprising the following steps: the method comprises the following steps:
a data acquisition step: acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, and acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started;
a judging step: and performing material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
2. The polysilicon reduction furnace start-up prediction method according to claim 1, characterized in that: the method further comprises the step of:
and if the reduction furnace to be started meets the starting condition, controlling the reduction furnace to be started to start working according to the starting time information.
3. The polysilicon reduction furnace start-up prediction method according to claim 1, characterized in that: the material consumption information comprises trichlorosilane consumption information and hydrogen consumption information.
4. The polysilicon reduction furnace start-up prediction method according to claim 1, characterized in that: the yield information comprises the yield information of trichlorosilane and/or the yield information of hydrogen.
5. The polysilicon reduction furnace start-up prediction method according to claim 1, characterized in that: the material consumption balance calculation specifically comprises the following steps:
and judging that the difference value of the material consumption corresponding to each time period is subtracted from the sum of the stock of all the material tanks and the yield of the reducing furnace in operation, if the difference value of the material consumption is larger than zero, the reducing furnace to be started meets the starting condition of the production raw materials, otherwise, the starting condition of the production raw materials is not met.
6. The polysilicon reduction furnace start-up prediction method according to claim 5, characterized in that: the electric quantity balance calculation specifically comprises the following steps:
counting the electric quantity consumption information in each unit time period in the operation period of the reduction furnace to be started;
and comparing the difference value between the transformer load in each unit time period and the electric quantity consumption in the corresponding unit time period, wherein if the difference value of the electric quantity consumption is larger than zero, the reduction furnace to be started meets the electric quantity start condition, otherwise, the reduction furnace does not meet the electric quantity start condition.
7. The system for predicting the furnace start-up of the polycrystalline silicon reduction furnace according to any one of claims 1 to 6, wherein: the system comprises a data acquisition unit and a main control unit, wherein the output end of the data acquisition unit is connected with the main control unit;
the data acquisition unit is used for acquiring material consumption information and electric quantity consumption information of each reduction furnace in unit time, acquiring stock information of all material tanks and yield information of the reduction furnaces in operation in real time, and acquiring furnace starting time information, time sequence material consumption table information and operation cycle information of the reduction furnaces to be started;
the main control unit is used for carrying out material consumption balance and electric quantity balance calculation in the operation period of the reduction furnace to be started according to the furnace starting time information and the operation period information of the reduction furnace to be started, and determining whether the reduction furnace to be started meets the furnace starting condition or not according to the material consumption balance and electric quantity balance calculation result.
8. The system for predicting the start-up of a polycrystalline silicon reduction furnace according to claim 7, wherein: the system also comprises an execution unit, wherein the output end of the main control unit is connected with the execution unit;
the execution unit is used for starting to work according to the control instruction of the main control unit so as to enable the reduction furnace to be started to work.
9. A storage medium having stored thereon computer instructions, characterized in that: the computer instructions when executed perform the steps of the method for predicting the start-up of a polycrystalline silicon reduction furnace according to any one of claims 1 to 6.
10. A terminal comprising a memory and a processor, the memory having stored thereon computer instructions executable on the processor, the terminal comprising: the processor executes the computer instructions to execute the steps of the method for predicting the start-up of the polycrystalline silicon reduction furnace according to any one of claims 1 to 6.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011519647.7A CN112645334B (en) | 2020-12-21 | 2020-12-21 | Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202011519647.7A CN112645334B (en) | 2020-12-21 | 2020-12-21 | Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal |
Publications (2)
Publication Number | Publication Date |
---|---|
CN112645334A true CN112645334A (en) | 2021-04-13 |
CN112645334B CN112645334B (en) | 2021-08-31 |
Family
ID=75360206
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202011519647.7A Active CN112645334B (en) | 2020-12-21 | 2020-12-21 | Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN112645334B (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115594182A (en) * | 2022-10-28 | 2023-01-13 | 四川永祥新能源有限公司(Cn) | One-key furnace opening control method for polycrystalline silicon reduction furnace, system and computer readable storage medium thereof |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2426085A1 (en) * | 2010-09-06 | 2012-03-07 | Wacker Chemie AG | Process for producing polycrystalline silicon |
CN102923711A (en) * | 2012-11-30 | 2013-02-13 | 内蒙古神舟硅业有限责任公司 | Automatic control starting method of polycrystalline silicon reduction furnace |
CN108563913A (en) * | 2018-05-29 | 2018-09-21 | 广东工业大学 | A kind of polycrystalline silicon reducing furnace reduction process energy consumption prediction technique, system |
CN110451511A (en) * | 2019-08-26 | 2019-11-15 | 洛阳中硅高科技有限公司 | Polycrystalline silicon reducing furnace and its open furnace method |
CN111596636A (en) * | 2020-06-19 | 2020-08-28 | 亚洲硅业(青海)股份有限公司 | Polycrystalline silicon reduction furnace control method and device and electronic equipment |
-
2020
- 2020-12-21 CN CN202011519647.7A patent/CN112645334B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP2426085A1 (en) * | 2010-09-06 | 2012-03-07 | Wacker Chemie AG | Process for producing polycrystalline silicon |
CN102923711A (en) * | 2012-11-30 | 2013-02-13 | 内蒙古神舟硅业有限责任公司 | Automatic control starting method of polycrystalline silicon reduction furnace |
CN108563913A (en) * | 2018-05-29 | 2018-09-21 | 广东工业大学 | A kind of polycrystalline silicon reducing furnace reduction process energy consumption prediction technique, system |
CN110451511A (en) * | 2019-08-26 | 2019-11-15 | 洛阳中硅高科技有限公司 | Polycrystalline silicon reducing furnace and its open furnace method |
CN111596636A (en) * | 2020-06-19 | 2020-08-28 | 亚洲硅业(青海)股份有限公司 | Polycrystalline silicon reduction furnace control method and device and electronic equipment |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115594182A (en) * | 2022-10-28 | 2023-01-13 | 四川永祥新能源有限公司(Cn) | One-key furnace opening control method for polycrystalline silicon reduction furnace, system and computer readable storage medium thereof |
Also Published As
Publication number | Publication date |
---|---|
CN112645334B (en) | 2021-08-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11268201B2 (en) | Electrolyser and energy system | |
US12002893B2 (en) | Clustered power generator architecture | |
US8068938B2 (en) | Method and system for managing a load demand on an electrical grid | |
EP2487969A1 (en) | Methods and apparatus for managing peak loads for a customer location | |
CN107145069A (en) | Method and system for running autonomous energy supply network | |
CN112645334B (en) | Furnace start prediction method and system for polycrystalline silicon reduction furnace, storage medium and terminal | |
US9891905B2 (en) | Utility meter intelligent firmware update system and method | |
AU2017263912B2 (en) | Charge/discharge planning system, planning method, and program | |
CN102393683B (en) | Method and system for controlling water level of water supply system | |
JP5523577B2 (en) | Monitoring control system communication method and monitoring control system | |
US20110077878A1 (en) | Power supply with data communications | |
CN110190635B (en) | Multi-power dispatching mechanism AGC unified frequency modulation control method, device and system supporting frequency modulation auxiliary service market | |
CN208026330U (en) | A kind of intelligent sharing water metering control water meter and its system | |
JPWO2019171728A1 (en) | Power management systems, power management methods, and programs | |
CN212302728U (en) | Novel multifunctional concentrator device | |
JP2013192419A (en) | Electricity consumption control system | |
CN112950406A (en) | User electricity utilization monitoring method and device | |
EP3651314A1 (en) | Power information management device and power information management system | |
JPWO2019230600A1 (en) | Power control methods, programs, power control systems, and power management systems | |
JP6855934B2 (en) | Server equipment, power management systems, and computer programs | |
US20240291316A1 (en) | Energy resource control system, energy resource control method, and program | |
CN115079631A (en) | Remote interactive control intelligent refined batching system and method | |
CN118485244A (en) | Material prediction distribution method and device, electronic equipment and storage medium | |
CN114268513A (en) | Data sharing method and device, electronic equipment, storage medium and product | |
KR20120080086A (en) | Controlling method of a component for network system |
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 |