A distributed steelmaking furnace temperature measurement method and device, electronic equipment and medium

Abstract

The application relates to the field of detection technology, in particular to a distributed steelmaking furnace temperature detection method and device, electronic equipment and a medium, which comprises the following steps: when it is detected that a lost temperature detection equipment exists, acquiring a plurality of associated temperature detection equipment information of the lost temperature detection equipment; according to each associated temperature detection equipment information, acquiring the communication information of each associated temperature detection equipment within a preset time length; based on the communication information, determining the key temperature detection equipment information which communicates with the lost temperature detection equipment within the preset time length; and analyzing the lost temperature detection equipment information from the key temperature detection equipment information to perform temperature detection on the steelmaking furnace corresponding to the lost temperature detection equipment. The application has the effect that the temperature of all steelmaking furnaces can be conveniently detected in real time.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of detection technology, and in particular to a distributed steelmaking furnace temperature measurement method and device, an electronic device and a medium. BACKGROUND

[0002] In the steel manufacturing process, the steelmaking raw materials are passed into the heating inner furnace arranged in the steelmaking furnace, the steelmaking raw materials are smelted to generate molten steel, and the subsequent steelmaking process is based on the molten steel. The temperature of the molten steel directly affects the quality of the subsequent steelmaking process, so it is particularly important to obtain the temperature of the molten steel in real time to realize real-time adjustment of the state of the steelmaking furnace.

[0003] However, due to the high temperature of the steelmaking furnace during operation, in the related art, in order to detect each steelmaking furnace in real time, a temperature detection device is generally arranged on each steelmaking furnace. After obtaining the temperature collected by the temperature detection device, the collected temperature is transmitted to the electronic device through wireless data transmission. However, if the temperature detection device is disturbed during long-distance signal transmission, the electronic device will be difficult to receive the data collected by the temperature detection device, and thus it is difficult to detect the temperature of the molten steel in the steelmaking furnace in real time. SUMMARY

[0004] In order to facilitate real-time detection of the temperature of all steelmaking furnaces, the present application provides a distributed steelmaking furnace temperature measurement method, device, electronic device and medium.

[0005] In a first aspect, the present application provides a distributed steelmaking furnace temperature measurement method, which adopts the following technical solution:

[0006] A distributed steelmaking furnace temperature measurement method, comprising:

[0007] When it is detected that there is a lost temperature detection device, the multiple associated temperature detection device information of the lost temperature detection device is obtained;

[0008] According to each associated temperature detection device information, the communication information of each associated temperature detection device within a preset time period is obtained;

[0009] Based on the communication information, the key temperature detection device information that communicates with the lost temperature detection device within a preset time period is determined;

[0010] The lost temperature detection device information is parsed from the key temperature detection device information to detect the temperature of the steelmaking furnace corresponding to the lost temperature detection device.

[0011] By adopting the technical scheme, when it is detected that there is a missing temperature detection device, a plurality of associated temperature detection device information of the missing temperature detection device is acquired, according to the association information of each associated temperature detection device, the communication information corresponding to each associated temperature detection device is acquired, then the key device information is determined based on the plurality of communication information, wherein the key device information is the key device information corresponding to the key device which communicates with the missing temperature detection device within a preset time length, finally the missing temperature detection device information corresponding to the missing temperature detection device is parsed from the key device information, so as to facilitate real-time detection of the temperature of the steelmaking furnace corresponding to the missing temperature detection device through the missing temperature detection device information.

[0012] In a possible implementation manner, the acquiring, after it is detected that there is a missing temperature detection device, of the plurality of associated temperature detection device information of the missing temperature detection device comprises:

[0013] After it is confirmed that there is a missing temperature detection device, the relevant communication record of the missing temperature detection device is read from a historical communication database;

[0014] According to the relevant communication record, the plurality of associated temperature detection device information of the missing temperature detection device is determined.

[0015] By adopting the technical scheme, after it is confirmed that there is a missing temperature detection device, the communication record related to the missing temperature detection device is extracted from the historical database, and the plurality of associated temperature detection device information of the missing temperature detection device is determined through the communication record, so that the accuracy of the determination result is improved.

[0016] In a possible implementation manner, the method further comprises:

[0017] After it is detected that there is a missing temperature detection device, the signal information of the missing temperature detection device is extracted from a historical communication database;

[0018] According to the signal information, the signal strength corresponding to each signal information is determined;

[0019] Based on the plurality of signal strengths, the signal strength trend of the missing temperature detection device is determined;

[0020] According to the signal strength trend, it is predicted whether the missing temperature detection device has a signal abnormality.

[0021] By adopting the technical scheme, the signal information of the missing temperature detection device is extracted from the historical communication database, then the signal strength corresponding to each signal information is determined according to the extracted signal information, finally the signal strength trend of the temperature detection device is determined according to each signal strength, and according to the signal strength trend, the missing reason of the missing temperature detection device is predicted.

[0022] In a possible implementation manner, the method further includes:

[0023] obtaining any temperature detection device information in a preset time period, the temperature detection device including a plurality of time points and corresponding detection temperature values;

[0024] introducing the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve;

[0025] determining a corresponding temperature growth rate according to the temperature-time curve;

[0026] if the temperature growth rate is higher than a preset standard growth rate, determining whether the temperature growth rate is abnormal according to a plurality of associated temperature detection device information of the temperature detection device, and if so, generating abnormal information.

[0027] By using the above technical solution, by obtaining any temperature detection device information corresponding to the temperature detection device in a preset time period, the temperature-time curve of the temperature detection device in the preset time period is determined, and then the corresponding temperature growth rate is determined according to the temperature-time curve. Finally, the temperature growth rate is compared with the preset standard growth rate, and if the temperature growth rate is higher than the preset standard growth rate, abnormal information is generated to facilitate reminding relevant staff to timely maintain the temperature detection device, thereby reducing the probability of affecting the subsequent steelmaking process due to the rapid temperature growth rate and the excessively high temperature of molten steel.

[0028] In a possible implementation manner, the determining a corresponding temperature growth rate according to the temperature-time curve includes:

[0029] determining a plurality of key time points;

[0030] determining a corresponding key temperature growth rate of each key time point according to the temperature-time curve;

[0031] determining the temperature growth rate corresponding to the temperature-time curve according to a plurality of temperature growth rates.

[0032] By using the above technical solution, the temperature growth rates of a plurality of key time points are determined, and then the temperature growth rate corresponding to the temperature-time curve is determined according to a plurality of temperature growth rates. The temperature growth rate corresponding to the temperature-time curve is determined by calculating the average value of the temperature growth rates of a plurality of key time points, thereby improving the accuracy of determining the temperature growth rate.

[0033] In a possible implementation manner, the determining whether the temperature growth rate is abnormal according to the plurality of associated temperature detection device information of the temperature detection device includes:

[0034] obtaining an associated temperature-time curve corresponding to each of the plurality of associated temperature detection devices of the temperature detection device;

[0035] determining whether the temperature growth rate of each of the associated temperature detection devices corresponding to each of the associated temperature-time curves is higher than a preset standard growth rate based on the associated temperature-time curves;

[0036] when there is at least one associated temperature detection device whose temperature growth rate is higher than the preset standard growth rate, determining whether the preset time period is a temperature rising stage according to any temperature-time curve;

[0037] if yes, determining whether there is a temperature rising abnormality of the temperature detection device and the at least one associated temperature detection device based on a preset temperature rising rate.

[0038] if no, generating temperature abnormality information.

[0039] By adopting the above technical solution, the associated temperature-time curves corresponding to the plurality of associated temperature detection devices of the temperature detection device are obtained, and then the temperature growth rate of each of the associated temperature detection devices is determined based on the plurality of associated temperature-time curves. When the temperature growth rates of the temperature detection device and the at least one associated temperature detection device are both higher than the preset standard growth rate, it is determined whether the preset time period is a temperature rising stage according to any temperature-time curve. If it is a temperature rising stage, the temperature growth rates of the temperature detection device and the at least one associated temperature detection device are further determined based on the preset temperature rising rate, and it is determined whether there is a temperature rising abnormality. If the preset time period is not a temperature rising stage, it is determined that there is a temperature rising abnormality of the temperature detection device and the at least one associated temperature detection device, thereby improving the accuracy of determining whether there is a temperature rising abnormality.

[0040] In a possible implementation manner, the method further includes:

[0041] The temperature detection devices and the electronic device communicate with each other through Zigbee.

[0042] By adopting the above technical solution, the temperature detection devices and the electronic device communicate with each other through ZigBee, thereby facilitating to improve the reliability and efficiency of data transmission.

[0043] In a second aspect, the application provides a distributed steelmaking furnace temperature measuring device, which adopts the following technical solution:

[0044] A distributed steelmaking furnace temperature measuring device includes:

[0045] obtain a plurality of associated temperature detection device information of the missing temperature detection device when it is detected that there is a missing temperature detection device;

[0046] obtain communication information of each associated temperature detection device within a preset time length according to each associated temperature detection device information;

[0047] determine key temperature detection device information based on the communication information, the key temperature detection device information being used for communication with the missing temperature detection device within the preset time length;

[0048] analyze the missing temperature detection device information from the key temperature detection device information, so as to perform temperature detection on the steelmaking furnace corresponding to the missing temperature detection device.

[0049] By using the above technical solution, when it is detected that there is a missing temperature detection device, a plurality of associated temperature detection device information of the missing temperature detection device is obtained, communication information corresponding to each associated temperature detection device is obtained according to the associated information of each associated temperature detection device, key device information is determined based on a plurality of communication information, the key device information being key device information corresponding to a key device that communicates with the missing temperature detection device within a preset time length, and finally missing temperature detection device information corresponding to the missing temperature detection device is obtained by analyzing the key device information, so as to realize real-time detection on the temperature of the steelmaking furnace corresponding to the missing temperature detection device through the missing temperature detection device information.

[0050] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0051] An electronic device, comprising:

[0052] at least one processor;

[0053] a memory;

[0054] at least one application program, wherein the at least one application program is stored in the memory and is configured to be executed by the at least one processor, and the at least one application program is configured to execute the above-mentioned distributed steelmaking furnace temperature detection method.

[0055] In a fourth aspect, the present application provides a computer readable storage medium, which adopts the following technical solution:

[0056] A computer readable storage medium, comprising a computer program stored therein, the computer program being capable of being loaded and executed by a processor to execute the above-mentioned distributed steelmaking furnace temperature detection method.

[0057] In summary, the present application has at least one of the following beneficial technical effects:

[0058] 1. When it is detected that there is a missing temperature detection device, obtain a plurality of associated temperature detection device information of the missing temperature detection device, obtain the communication information corresponding to each associated temperature detection device according to the association information of each associated temperature detection device, determine the key device information based on the plurality of communication information, wherein the key device information is the key device information corresponding to the key device which communicates with the missing temperature detection device within a preset time length, and finally parse the missing temperature detection device information corresponding to the missing temperature detection device from the key device information, so as to realize real-time detection of the temperature of the steelmaking furnace corresponding to the missing temperature detection device through the missing temperature detection device information. BRIEF DESCRIPTION OF DRAWINGS

[0059] Figure 1 is a distributed steelmaking furnace temperature measurement architecture schematic diagram in the embodiment of the present application;

[0060] Figure 2 is a distributed steelmaking furnace temperature measurement method flowchart in the embodiment of the present application;

[0061] Figure 3 is a distributed steelmaking furnace temperature measurement device structure schematic diagram in the embodiment of the present application;

[0062] Figure 4 is a structure schematic diagram of an electronic device in the embodiment of the present application. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings of the embodiments of the present application to further specifically describe the technical solutions of the embodiments of the present application. Figures 1-4 The embodiments of the present application are further described in detail.

[0064] Those skilled in the art can make modifications to the embodiments of the present application without creative contribution after reading the present specification, but as long as the modifications are within the scope of the claims of the present application, they are protected by the patent law.

[0065] In order to make the purpose, technical scheme and advantages of the embodiments of the present application more clear, the technical scheme of the embodiments of the present application will be described clearly and completely below in combination with the drawings of the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0066] The steelmaking process mainly refers to putting the raw materials for steelmaking into a steelmaking furnace and melting according to a certain process, that is, obtaining steel. The main raw materials for steelmaking are high-carbon molten iron or pig iron and scrap iron, in order to remove impurities in the molten iron, it is also necessary to add oxidizing agents, deoxidizing agents and slagging materials, and iron alloy materials to adjust the composition of the steel. After the high-carbon molten iron or pig iron is added to the steelmaking furnace, it needs to go through the processes of oxygen supply blowing, ore addition, and decarburization to remove impurities in the molten iron, and finally add alloy to carry out alloying to obtain molten steel.

[0067] There are three kinds of steelmaking furnaces, namely, flat furnace, converter and electric furnace. Among them, because the energy consumption is high and the working environment is poor when using flat furnace for steelmaking, the flat furnace is generally not used in the related technology, and the converter and electric furnace are usually selected for steelmaking. When using the converter for steelmaking, the molten iron is first preheated in the mixing furnace, the scrap steel is added to the converter, and then the high-temperature molten iron in the mixing furnace is added to the converter by the mixing car to melt and raise the temperature. When the temperature is appropriate, enter the oxidation period. The temperature of the molten steel will directly affect the subsequent steelmaking process, so the temperature detection of the molten steel in the steelmaking furnace is particularly critical. When detecting the temperature of the molten steel in the steelmaking furnace, a temperature detection device is generally provided on each steelmaking furnace. After obtaining the temperature collected by the temperature detection device, the collected temperature is sent to the electronic device by wireless data transmission. However, if the temperature detection device is disturbed during long-distance signal transmission, the electronic device will be difficult to receive the data collected by the temperature detection device, and thus it is difficult to detect the temperature of the molten steel in the steelmaking furnace in real time.

[0068] In order to facilitate real-time detection of the temperature of all steelmaking furnaces, in the embodiment of the present application, when it is detected that there is a lost temperature detection device, the information of a plurality of associated temperature detection devices of the lost temperature detection device is obtained, the communication information corresponding to each associated temperature detection device is obtained according to the association information of each associated temperature detection device, and the key device information is determined based on the plurality of communication information, wherein the key device information is the key device information corresponding to the key device which communicates with the lost temperature detection device within a preset time length. Finally, the lost temperature detection device information corresponding to the lost temperature detection device is parsed from the key device information, so as to facilitate real-time detection of the temperature of the steelmaking furnace corresponding to the lost temperature detection device through the lost temperature detection device information.

[0069] In order to facilitate understanding, the system architecture applicable to the technical scheme of the present application is introduced as follows Figure 1 , Figure 1 is a distributed steelmaking furnace temperature measurement architecture provided by the embodiment of the present application, comprising:

[0070] a plurality of temperature detection devices and an electronic device.

[0071] Wherein, each steelmaking furnace is provided with a temperature detection device, the numbers of the plurality of temperature detection devices correspond to the steelmaking furnaces one by one, and the temperature of the molten steel in the steelmaking furnace can be detected through the temperature detection device. However, due to the large number of steelmaking procedures, there may be a plurality of electrical equipment around the steelmaking furnace, and the simultaneous operation of the plurality of electrical equipment may cause the temperature detection device to be easily interfered with when sending the measured results to the electronic device, so that the electronic device cannot accept the data information sent by a certain temperature detection device, and thus the electronic device cannot detect the temperature of all the steelmaking furnaces in real time. The temperature detection device includes a temperature sensor and an electronic tag, each electronic tag can communicate with each other, but each electronic tag has a fixed communication range, and within the communication range, the electronic tags can communicate with each other, and the electronic device can communicate with each electronic tag.

[0072] Specifically, the embodiment of the present application provides a distributed steelmaking furnace temperature measurement method, which is executed by an electronic device. The electronic device can be a server or a terminal device. The server can be a physical server, a server cluster composed of multiple physical servers, or a distributed system, and can also be a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected through wired or wireless communication, and the embodiment of the present application does not limit this.

[0073] Reference Figure 2 , Figure 2 is a flowchart of a distributed steelmaking furnace temperature measurement method in the embodiment of the present application. The method includes steps S210, S220, S230 and S240, wherein:

[0074] Step S210: When it is detected that there is a missing temperature detection device, the plurality of associated temperature detection device information of the missing temperature detection device is acquired.

[0075] Specifically, the temperature detection device includes a temperature sensor and an electronic tag. The temperature sensor is used to detect the temperature of the molten steel in the steelmaking furnace, and the electronic tag is used to communicate with other temperature detection devices.

[0076] The temperature detection device can be a water cooling device of an infrared imaging temperature measurement system of a steelmaking furnace. The infrared temperature measurement device is installed in the cooling device body. The cooling device body includes a cooling pipe. The pipe body of the cooling pipe has a plurality of through holes arranged along the direction of the cooling pipe. Two flow channel pipes are installed in the through holes. The cooling device body surface is provided with a liquid inlet and a liquid outlet. The cooling device further includes a plurality of connecting pipes. The liquid inlet and the liquid outlet are connected by the connecting pipes and the flow channel pipes, and form a flow channel in the cooling pipe. The infrared temperature measurement instrument is well cooled, and the stable and safe operation of the infrared temperature measurement system is ensured.

[0077] There are many reasons for the loss of temperature detection equipment, for example, the temperature of molten steel in the steelmaking furnace can be too high, causing the temperature detection equipment to be damaged, and thus unable to send data information to the electronic device. The temperature detection equipment itself can not be damaged, but during data transmission, the signal is disturbed, and thus the electronic device cannot receive the data information.

[0078] The associated temperature detection equipment is a device that can communicate with the lost temperature detection equipment, i.e. the lost temperature detection equipment.

[0079] Step S220: According to the information of each associated temperature detection equipment, the communication information of each associated temperature detection equipment in a preset time length is obtained.

[0080] Specifically, if the associated temperature detection equipment is not lost, the associated temperature detection equipment will send data information to the electronic device at a preset frequency. When the electronic device does not receive the data information sent by the temperature detection equipment, it is determined that the temperature detection equipment is lost.

[0081] When it is detected that there is a lost temperature detection equipment, the time of loss is recorded, and the preset time length is a preset time period starting from the time of loss. For example, when it is detected that there is a lost temperature detection equipment, the time of loss is 17:20, the preset time period is 10 minutes, and the preset time length is 17:20-17:30.

[0082] Step S230: Based on the plurality of communication information, determine the key temperature detection equipment information that communicates with the lost temperature detection equipment in the preset time length.

[0083] Specifically, the key temperature detection equipment is the associated temperature detection equipment that communicates with the lost temperature detection equipment in the preset time period after determining that the temperature detection equipment is lost. The key temperature detection equipment is a subset of the associated temperature detection equipment.

[0084] Step S240: Analyze the lost temperature detection equipment information from the key equipment information to detect the temperature of the steelmaking furnace corresponding to the lost temperature detection equipment.

[0085] Specifically, when two different temperature detection devices communicate, the respective temperature measurement results of the molten steel in the steelmaking furnace can be forwarded, so that when a temperature measurement device is lost, the data information measured by the lost temperature measurement device can be sent to the electronic device, and the electronic device can detect the temperature of the molten steel in all steelmaking furnaces in real time.

[0086] In the embodiment of the application, when it is detected that there is a lost temperature detection device, the multiple associated temperature detection device information of the lost temperature detection device is acquired, the communication information corresponding to each associated temperature detection device is acquired according to the association information of each associated temperature detection device, the key device information corresponding to the key device that communicates with the lost temperature detection device within a preset time length is determined based on the multiple communication information, and finally the lost temperature detection device information corresponding to the lost temperature detection device is parsed from the key device information, so that the temperature of the steelmaking furnace corresponding to the lost temperature detection device can be detected in real time through the lost temperature detection device information.

[0087] Further, in step S210, when it is detected that there is a lost temperature detection device, the multiple associated temperature detection device information of the lost temperature detection device can specifically include steps S2101 (not shown in the figure), S2102 (not shown in the figure), wherein:

[0088] Step S2101: After confirming that there is a lost temperature detection device, the communication record related to the lost temperature detection device is read from the historical communication database.

[0089] Step S2102: According to the communication record, the multiple associated temperature detection device information of the lost temperature device is determined.

[0090] Specifically, the historical communication data stores the communication records of all temperature detection devices, and the communication record of any temperature detection device can be retrieved from the historical communication database through the device number corresponding to the temperature detection device. The device number of the temperature detection device can be acquired from the temperature detection device information.

[0091] The communication record related to the lost temperature detection device is the communication record that has communicated with the lost temperature detection device. The temperature detection device that has communicated with the lost temperature detection device is determined as the associated temperature detection device of the lost temperature detection device.

[0092] In the embodiment of the application, when it is confirmed that there is a lost temperature detection device, the communication record related to the lost temperature detection device is extracted from the historical database, and the multiple associated temperature detection device information of the lost temperature detection device is determined through the communication record, thereby improving the accuracy of the determination result.

[0093] Further, in order to improve the rate of determining the cause of the disconnection of the disconnection temperature detection device, further comprising steps S1 (not shown in the figure), step S2 (not shown in the figure), step S3 (not shown in the figure), step S4 (not shown in the figure), wherein:

[0094] Step S1: When it is detected that there is a disconnection temperature detection device, the signal information of the disconnection temperature detection device is extracted from the historical communication database.

[0095] Specifically, the historical communication database stores the communication information of each temperature detection device and electronic device, wherein the communication information includes the communication time and the signal strength when communicating.

[0096] In order to improve the reliability and efficiency of data transmission, ZigBee is used for communication between temperature detection devices and between temperature detection devices and electronic devices.

[0097] Specifically, ZigBee is also called purple bee, which is a low-speed short-distance transmission wireless network protocol. The working principle of ZigBee is mainly to rely on wireless network transmission, which can realize near-distance wireless connection and belongs to wireless network communication technology.

[0098] The structure of ZigBee is divided into four layers: physical layer, MAC layer, network layer and application layer. Among them, the physical layer is the lowest layer of ZigBee protocol structure, which provides the most basic service for the MAC layer; the MAC layer is responsible for the establishment and maintenance of wireless data link between different temperature detection devices, and the transmission and reception of confirmed communication information; the network layer ensures the transmission and integrity of data, and can also encrypt data; the application layer enables communication between multiple devices according to design purpose and demand.

[0099] Step S2: According to the signal information, determine the signal strength corresponding to each signal information.

[0100] Step S3: Determine the signal strength trend of the disconnection temperature detection device based on multiple signal strengths.

[0101] Step S4: According to the signal strength trend, predict whether the disconnection temperature detection device has signal abnormality.

[0102] Specifically, the signal strength is used to determine whether the devices can communicate with each other. The signal strength trend can be determined by importing multiple signal strengths into a preset coordinate system to obtain an intensity-time curve, and determining the trend of signal strength according to the intensity-time curve.

[0103] If the signal strength is getting weaker and weaker with time according to the intensity-time curve, the reason for the loss of contact of the temperature detection device may be that the signal is interfered.

[0104] In the embodiment of the present application, the signal information of the lost temperature detection device is extracted from the historical communication database, the signal strength corresponding to each signal information is determined according to the extracted signal information, and finally the signal strength trend of the temperature detection device is determined according to each signal strength. According to the signal strength trend, the loss reason of the lost temperature detection device can be predicted.

[0105] Further, the embodiment of the present application further includes steps Sa (not shown in the figure), step Sb (not shown in the figure), step Sc (not shown in the figure), and step Sd (not shown in the figure), wherein:

[0106] Step Sa: Obtain any temperature detection device information in a preset time period, which includes multiple time points and corresponding detection temperature values.

[0107] Specifically, the preset time period can be modified according to requirements, which is not limited in the embodiment of the present application.

[0108] Step Sb: Import the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve.

[0109] Specifically, in the pre-established coordinate system, the temperature value can be used as the horizontal coordinate and the time as the vertical coordinate, or the time can be used as the horizontal coordinate and the temperature value as the vertical coordinate, which is not limited in the embodiment of the present application, as long as the temperature detection device information can be imported to reflect the corresponding relationship between temperature and time.

[0110] Step Sc: Determine the corresponding temperature growth rate according to the temperature-time curve.

[0111] Specifically, when determining the growth rate according to the temperature-time curve, the temperature difference corresponding to different time points can be calculated, or the slope of the temperature-time curve can be calculated to represent the temperature growth rate.

[0112] Step Sd: If the temperature growth rate is higher than the preset standard growth rate, determine whether the temperature growth rate is abnormal according to the multiple associated temperature detection device information of the temperature detection device, and generate abnormal information if it is.

[0113] Specifically, the preset standard growth rate can be modified according to requirements, which is not limited in the embodiment of the present application. The abnormal information is used to remind relevant staff to timely maintain the temperature detection device, so as to reduce the influence of the excessively high temperature of molten steel on the subsequent steelmaking process due to the excessively fast temperature growth.

[0114] In the embodiment of the present application, the temperature-time curve of the temperature detection device in the preset time period is determined by obtaining the temperature detection device information corresponding to any temperature detection device in the preset time period, and then the corresponding temperature growth rate is determined through the temperature-time curve. Finally, the temperature growth rate is compared with the preset standard growth rate. If the temperature growth rate is higher than the preset standard growth rate, an abnormal information is generated to remind the relevant staff to timely maintain the temperature detection device, thereby reducing the probability of affecting the subsequent steelmaking process due to the rapid temperature growth rate of the molten steel.

[0115] Further, the corresponding temperature growth rate is determined according to the temperature-time curve in step Sc, which can specifically include steps Sc1 (not shown in the figure), Sc2 (not shown in the figure), and Sc3 (not shown in the figure), wherein:

[0116] Step Sc1: determining a plurality of key moments.

[0117] Step Sc2: determining the key temperature growth rate corresponding to each key moment according to the temperature-time curve.

[0118] Specifically, the key moment can be selected from the preset time period according to the demand, which is not specifically limited in the embodiment of the present application, as long as the temperature growth trend in the preset time period can be determined through the plurality of key moments.

[0119] The key temperature growth rate corresponding to each key moment can be determined by determining the coordinate value corresponding to each key moment from the temperature-time curve, and then calculating the slope corresponding to each key moment according to the coordinate value of each key moment, so as to obtain the key temperature growth rate corresponding to each key moment.

[0120] Step Sc3: determining the temperature growth rate corresponding to the temperature-time curve according to the plurality of temperature growth rates.

[0121] Specifically, the temperature growth rate corresponding to the temperature-time curve is obtained by averaging the temperature growth rates corresponding to the plurality of key moments.

[0122] In the embodiment of the present application, the temperature growth rate of the plurality of key moments is determined, and then the temperature growth rate corresponding to the temperature-time curve is determined according to the plurality of temperature growth rates. The average value of the temperature growth rates of the plurality of key moments is calculated to determine the temperature growth rate corresponding to the temperature-time curve, thereby improving the accuracy of determining the temperature growth rate.

[0123] Further, in step Sd, it is determined whether the temperature growth rate is abnormal according to the multiple associated temperature detection device information of the temperature detection device, and if so, abnormal information is generated. Specifically, it can include steps Sd1 (not shown in the figure), Sd2 (not shown in the figure), Sd3 (not shown in the figure), Sd4 (not shown in the figure), and Sd5 (not shown in the figure), wherein:

[0124] Step Sd1: Obtain the associated temperature-time curve corresponding to the multiple associated temperature detection devices of the temperature detection device.

[0125] Step Sd2: Determine whether the temperature growth rate corresponding to each associated temperature-time curve is higher than the preset standard growth rate based on the associated temperature-time curve.

[0126] Specifically, when the temperature growth rate of a certain temperature detection device is fast, in order to improve the accuracy of the judgment, the temperature growth rate corresponding to the associated temperature detection device of the temperature detection device can be determined, which helps to improve the accuracy of the judgment result and facilitates the unified optimization of the working condition of the steelmaking furnace based on the temperature of the multiple steelmaking furnaces.

[0127] Step Sd3: When there is at least one associated temperature detection device with a temperature growth rate higher than the preset standard growth rate, it is determined whether the preset time period is a heating stage according to any temperature-time curve.

[0128] Step Sd4: If it is a heating stage, it is determined whether the temperature detection device and at least one associated temperature detection device have a heating abnormality based on the preset heating rate.

[0129] Specifically, the temperature of the initial stage of steelmaking starts to increase from room temperature or 0 degrees, so the temperature growth rate is higher in the initial stage. If the temperature growth rates corresponding to the temperature detection device and at least one associated temperature detection device are all higher than the temperature growth rate in the heating stage, it can be predicted that the temperature detection device and at least one associated temperature detection device may have a heating abnormality.

[0130] The preset heating rate can be modified according to requirements and is not specifically limited in the embodiment of the present application. If the temperature growth rates corresponding to the temperature detection device and at least one associated temperature detection device are lower than the preset heating rate in the heating stage, it indicates that the temperature detection device and at least one associated temperature detection device do not have a heating abnormality.

[0131] The determination of the heating stage can be determined by a preset time period.

[0132] Step Sd5: If it is not a heating stage, generate temperature abnormal information.

[0133] Specifically, based on the working nature of the steelmaking furnace, the steelmaking raw materials are generally heated. After the steelmaking raw materials are turned into molten steel, the temperature of the molten steel in the steelmaking furnace generally does not change significantly. Therefore, the temperature increase rate in the non-heating stage is lower than the temperature increase rate in the heating stage.

[0134] In this embodiment, by acquiring the associated temperature-time curves corresponding to multiple associated temperature detection devices of the temperature detection device, and then determining the temperature growth rate of each associated temperature detection device based on the multiple associated temperature-time curves, when the temperature growth rate of the temperature detection device and at least one associated temperature detection device is higher than the preset standard growth rate, it is determined whether the preset time period is a heating stage according to any temperature-time curve. If it is a heating stage, the temperature growth rate of the temperature detection device and at least one associated temperature detection device is further judged based on the preset heating rate, and it is determined whether there is a heating abnormality. If the preset time period is not a heating stage, it is determined that the temperature detection device and at least one associated temperature detection device have a heating abnormality, thereby improving the accuracy of determining whether there is a heating abnormality.

[0135] The above embodiments describe a distributed steelmaking furnace temperature measurement method from the perspective of process flow. The following embodiments describe a distributed steelmaking furnace temperature measurement device from the perspective of virtual module or virtual unit. For details, please refer to the following embodiments.

[0136] This application provides a distributed steelmaking furnace temperature measurement device, such as... Figure 3 As shown, the distributed steelmaking furnace temperature measurement device may specifically include an acquisition module 310, an associated information acquisition module 320, a key information determination module 330, and an information parsing module 340, wherein:

[0137] The acquisition module 310 is used to acquire information on multiple associated temperature detection devices of the lost temperature detection device when a lost temperature detection device is detected.

[0138] The associated information acquisition module 320 is used to acquire the communication information of each associated temperature detection device within a preset time period based on the information of each associated temperature detection device.

[0139] The key information determination module 330 is used to determine, based on communication information, the key temperature detection equipment information that communicates with the disconnected temperature detection equipment within a preset time period;

[0140] The parsing information module 340 is used to parse the information of the lost temperature detection equipment from the information of the key temperature detection equipment, so as to perform temperature detection on the steelmaking furnace corresponding to the lost temperature detection equipment.

[0141] In one possible implementation, the acquisition module 310 includes:

[0142] The historical communication unit is configured to read the relevant communication record of the out-of-contact temperature detection device from the historical communication database after confirming that the out-of-contact temperature detection device exists.

[0143] The determination unit is configured to determine the multiple associated temperature detection device information of the out-of-contact temperature detection device according to the relevant communication record.

[0144] In a possible implementation manner, the method further includes:

[0145] The historical signal acquisition module is configured to extract the signal information of the out-of-contact temperature detection device from the historical communication database when it is detected that the out-of-contact temperature detection device exists.

[0146] The determination module is configured to determine the signal strength corresponding to each signal information according to the signal information.

[0147] The signal strength trend generation module is configured to determine the signal strength trend of the out-of-contact temperature detection device based on the multiple signal strengths.

[0148] The signal anomaly prediction module is configured to predict whether the out-of-contact temperature detection device has a signal anomaly according to the signal strength trend.

[0149] In a possible implementation manner, the method further includes:

[0150] The temperature information acquisition module is configured to acquire any temperature detection device information in a preset time period, the temperature detection device including multiple time points and corresponding detection temperature values.

[0151] The curve determination module is configured to import the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve.

[0152] The rate determination module is configured to determine the corresponding temperature growth rate according to the temperature-time curve.

[0153] The execution module is configured to determine whether the temperature growth rate is abnormal according to the multiple associated temperature detection device information of the temperature detection device if the temperature growth rate is higher than the preset standard growth rate, and generate abnormal information if the temperature growth rate is abnormal.

[0154] In a possible implementation manner, the rate determination module includes:

[0155] The time point determination unit is configured to determine multiple key time points.

[0156] The key rate determination unit is configured to determine the key temperature growth rate corresponding to each key time point according to the temperature-time curve.

[0157] A rate determining unit is configured to determine a temperature growth rate corresponding to the temperature-time curve according to a plurality of temperature growth rates.

[0158] In a possible implementation, the execution module comprises:

[0159] An association curve obtaining unit is configured to obtain an association temperature-time curve corresponding to each of a plurality of associated temperature detection devices of the temperature detection device;

[0160] A first judging unit is configured to judge whether each of the association temperature growth rates corresponding to each of the association temperature-time curves is higher than a preset standard growth rate based on the association temperature-time curves;

[0161] A second judging unit is configured to judge whether the preset time period is a temperature rising stage according to any of the temperature-time curves when there is at least one associated temperature detection device whose temperature growth rate is higher than the preset standard growth rate;

[0162] A third judging unit is configured to determine whether the temperature detection device and the at least one associated temperature detection device have temperature rising abnormities based on a preset temperature rising rate if the temperature rising stage is determined.

[0163] A temperature abnormality generating unit is configured to generate temperature abnormality information if the temperature rising stage is not determined.

[0164] In a possible implementation, the method further comprises:

[0165] The temperature detection devices and the temperature detection devices and the electronic device communicate through Zigbee.

[0166] An electronic device is provided in the embodiments of the present application, as shown in Figure 4 as shown in Figure 4 The electronic device 400 shown in the embodiments of the present application comprises a processor 401 and a memory 403. The processor 401 and the memory 403 are connected, for example, through a bus 402. Optionally, the electronic device 400 can further comprise a transceiver 404. It should be noted that the transceiver 404 is not limited to one in actual application, and the structure of the electronic device 400 does not constitute a limitation on the embodiments of the present application.

[0167] The processor 401 can be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic device, transistor logic device, hardware component, or any combination thereof. It can implement or execute the various exemplary logical blocks, modules and circuits described in connection with the disclosure. The processor 401 can also be a combination of computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0168] The bus 402 can include a path for transmitting information between the above-mentioned components. The bus 402 can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. The bus 402 can be divided into an address bus, a data bus, a control bus, etc. For convenience of representation, Figure 4 In the figure, only one thick line is used to represent the bus, but it does not mean that there is only one bus or only one type of bus.

[0169] The memory 403 can be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but not limited to this.

[0170] The memory 403 is configured to store application program codes for implementing the solutions of the present application, and the processor 401 is configured to control the execution of the application program codes stored in the memory 403. The processor 401 is configured to execute the application program codes stored in the memory 403 to implement the content shown in the foregoing method embodiments.

[0171] The electronic device includes, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (Personal Digital Assistant), a PAD (Tablet Personal Computer), a PMP (Portable Multimedia Player), a car terminal (for example, a car navigation terminal), and the like, and a stationary terminal such as a digital TV, a desktop computer, and the like. It can also be a server or the like. Figure 4 The electronic device shown is merely an example and should not impose any limitation on the functions and use range of the embodiments of the present disclosure.

[0172] The computer readable storage medium provided in the embodiments of the present application stores a computer program, and when the computer program runs on a computer, the computer can execute the corresponding content in the foregoing method embodiments. Compared with the related art, in the embodiments of the present application, when it is detected that there is a missing temperature detection device, the multiple associated temperature detection device information of the missing temperature detection device is acquired, the communication information corresponding to each associated temperature detection device is acquired according to the association information of each associated temperature detection device, the key device information is determined based on the multiple communication information, the key device information is the key device information corresponding to the key device that communicates with the missing temperature detection device within a preset time length, and finally the missing temperature detection device information corresponding to the missing temperature detection device is parsed from the key device information, so as to facilitate real-time detection of the temperature of the steelmaking furnace corresponding to the missing temperature detection device through the missing temperature detection device information.

[0173] It should be understood that, although each step in the flowchart of the accompanying drawings is shown in sequence according to the direction of the arrow, these steps are not necessarily executed in sequence according to the direction of the arrow. Unless otherwise specified herein, the execution of these steps is not strictly limited in sequence, and they can be executed in other sequences. Moreover, at least part of the steps in the flowchart of the accompanying drawings can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or sub-steps or stages of other steps.

[0174] The above only describes some embodiments of the present application. It should be noted that, for those skilled in the art, without departing from the principles of the present application, some improvements and refinements can be made, which should also be considered as the protection scope of the present application.

Claims

1. A method for distributed temperature measurement in a steelmaking furnace, characterized in that, The method comprises the following steps: When detecting the existence of a missing temperature detection device, obtaining a plurality of associated temperature detection device information of the missing temperature detection device; According to each associated temperature detection device information, obtaining the communication information of each associated temperature detection device within a preset time period; Based on the communication information, determining the key temperature detection device information of the missing temperature detection device within a preset time period; Resolving the missing temperature detection device information from the key temperature detection device information to perform temperature detection on the corresponding steelmaking furnace of the missing temperature detection device; The method further comprises the following steps: When detecting the existence of a missing temperature detection device, extracting the signal information of the missing temperature detection device from a historical communication database; According to the signal information, determining the signal strength corresponding to each signal information; Based on a plurality of signal strengths, determining the signal strength trend of the missing temperature detection device; According to the signal strength trend, predicting whether the missing temperature detection device has a signal anomaly; The method further comprises the following steps: Obtaining any temperature detection device information within a preset time period, wherein the temperature detection device information includes a plurality of time points and corresponding detection temperature values; Importing the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve; According to the temperature-time curve, determining the corresponding temperature growth rate; If the temperature growth rate is higher than a preset standard growth rate, determining whether the temperature growth rate is abnormal according to a plurality of associated temperature detection device information of the temperature detection device, and if so, generating an abnormal information; The method further comprises the following steps: Obtaining a plurality of associated temperature-time curves corresponding to the associated temperature detection devices of the temperature detection device; Based on the associated temperature-time curves, determining whether each associated temperature growth rate corresponding to each associated temperature-time curve is higher than a preset standard growth rate; When there is at least one associated temperature detection device with an associated temperature growth rate higher than the preset standard growth rate, determining whether the preset time period is a heating stage according to any temperature-time curve; If so, determining whether the temperature detection device and the at least one associated temperature detection device have a heating anomaly based on a preset heating rate; If not, generating a temperature anomaly information.

2. The method of claim 1, wherein the temperature of the distributed steelmaking furnace is measured by a plurality of temperature sensors. The method further comprises the following steps: When detecting the existence of a missing temperature detection device, obtaining a plurality of associated temperature detection device information of the missing temperature detection device; According to each associated temperature detection device information, obtaining the communication information of each associated temperature detection device within a preset time period; 3. The method of claim 1, wherein the temperature of the distributed steelmaking furnace is measured by a plurality of temperature sensors. Based on the communication information, determining the key temperature detection device information of the missing temperature detection device within a preset time period; Resolving the missing temperature detection device information from the key temperature detection device information to perform temperature detection on the corresponding steelmaking furnace of the missing temperature detection device; The method further comprises the following steps: When detecting the existence of a missing temperature detection device, extracting the signal information of the missing temperature detection device from a historical communication database; 4. The method of claim 1, wherein the temperature of the distributed steelmaking furnace is measured by a plurality of temperature sensors. According to the signal information, determining the signal strength corresponding to each signal information; Based on a plurality of signal strengths, determining the signal strength trend of the missing temperature detection device; According to the signal strength trend, predicting whether the missing temperature detection device has a signal anomaly; The method further comprises the following steps: Obtaining any temperature detection device information within a preset time period, wherein the temperature detection device information includes a plurality of time points and corresponding detection temperature values; Importing the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve; According to the temperature-time curve, determining the corresponding temperature growth rate; If the temperature growth rate is higher than a preset standard growth rate, determining whether the temperature growth rate is abnormal according to a plurality of associated temperature detection device information of the temperature detection device, and if so, generating an abnormal information; The method further comprises the following steps: Obtaining a plurality of associated temperature-time curves corresponding to the associated temperature detection devices of the temperature detection device; Based on the associated temperature-time curves, determining whether each associated temperature growth rate corresponding to each associated temperature-time curve is higher than a preset standard growth rate; When there is at least one associated temperature detection device with an associated temperature growth rate higher than the preset standard growth rate, determining whether the preset time period is a heating stage according to any temperature-time curve; If so, determining whether the temperature detection device and the at least one associated temperature detection device have a heating anomaly based on a preset heating rate; If not, generating a temperature anomaly information. The method further comprises the following steps: When detecting the existence of a missing temperature detection device, obtaining a plurality of associated temperature detection device information of the missing temperature detection device; According to each associated temperature detection device information, obtaining the communication information of each associated temperature detection device within a preset time period; Based on the communication information, determining the key temperature detection device information of the missing temperature detection device within a preset time period; Resolving the missing temperature detection device information from the key temperature detection device information to perform temperature detection on the corresponding steelmaking furnace of the missing temperature detection device; The method further comprises the following steps: The temperature detection devices and the electronic device communicate through Zigbee.

5. A distributed temperature measuring device for a steelmaking furnace, characterized in that, The method comprises: an acquisition module, configured to acquire a plurality of associated temperature detection device information of the missing temperature detection device when it is detected that there is a missing temperature detection device; an acquisition information module, configured to acquire communication information of each associated temperature detection device within a preset time period according to each associated temperature detection device information; a key information determination module, configured to determine key temperature detection device information that communicates with the missing temperature detection device within the preset time period based on the communication information; an information analysis module, configured to analyze the missing temperature detection device information from the key temperature detection device information to perform temperature detection on the steelmaking furnace corresponding to the missing temperature detection device; The device further comprises: an acquisition history signal module, configured to extract signal information of the missing temperature detection device from a historical communication database when it is detected that there is a missing temperature detection device; a strength determination module, configured to determine signal strength corresponding to each signal information according to the signal information; a strength trend generation module, configured to determine a signal strength trend of the missing temperature detection device based on a plurality of signal strengths; a signal anomaly prediction module, configured to predict whether the missing temperature detection device has a signal anomaly according to the signal strength trend; The device further comprises: an acquisition temperature information module, configured to acquire any temperature detection device information within a preset time period, wherein the temperature detection device information comprises a plurality of time points and corresponding detection temperature values; a curve determination module, configured to import the temperature detection device information into a pre-established coordinate system to determine a temperature-time curve; a rate determination module, configured to determine a corresponding temperature growth rate according to the temperature-time curve; an execution module, configured to determine whether the temperature growth rate is abnormal according to a plurality of associated temperature detection device information of the temperature detection device if the temperature growth rate is higher than a preset standard growth rate, and generate abnormal information if it is abnormal; The execution module comprises: an acquisition associated curve unit, configured to acquire associated temperature-time curves corresponding to a plurality of associated temperature detection devices of the temperature detection device; a first judgment unit, configured to determine whether each associated temperature growth rate corresponding to each associated temperature-time curve is higher than a preset standard growth rate based on the associated temperature-time curves; a second judgment unit, configured to determine whether the preset time period is a temperature rising stage according to any temperature-time curve when there is at least one associated temperature detection device with an associated temperature growth rate higher than the preset standard growth rate; a third judgment unit, configured to determine whether the temperature detection device and the at least one associated temperature detection device have a temperature rising anomaly based on a preset temperature rising rate if it is a temperature rising stage; a temperature anomaly generation unit, configured to generate temperature anomaly information if it is not a temperature rising stage.

6. An electronic device, comprising: The electronic device comprises: at least one processor; a memory; at least one application, wherein the at least one application is stored in the memory and configured to be executed by the at least one processor, the at least one application being configured to perform the method of claim 1-4 for distributed temperature measurement of a steelmaking furnace.

7. A computer-readable storage medium, characterized in that, comprising: a memory storing instructions that are loadable and executable by a processor to perform the method of claim 1-4 for distributed temperature measurement of a steelmaking furnace.

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