Safety monitoring system based on kitchen operation
By designing a kitchen operation safety monitoring system, the system monitors and analyzes the kitchen environment and the status of kitchen appliances in real time, automatically disconnects circuits to report risks, solves the safety hazards of kitchen fires and gas leaks, and achieves safe and stable operation of the kitchen.
Patent Information
- Application Number
- CN202511169931.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-20
- Publication Date
- 2025-11-21
AI Technical Summary
Existing technologies frequently result in safety accidents caused by kitchen fires and gas leaks, threatening the lives and property of residents, and there is a lack of effective safety monitoring systems.
Design a kitchen operation safety monitoring system, including a control terminal, a monitoring module, an imaging module, an analysis module, a sniffing module, and a response module. It is interconnected via a wireless network to monitor and analyze the kitchen environment and the status of kitchen appliances in real time, automatically disconnect circuits, and report risks.
It enables continuous, reliable, and accurate safety monitoring of kitchen appliances, provides visualized monitoring data reading, and ensures the safe and stable operation of the kitchen.
Smart Images
Figure CN120993768A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of smart kitchen, in particular to a kitchen operation safety monitoring system. BACKGROUND
[0002] With the wide development of smart home in the world, the smart kitchen technology also develops rapidly, and has become a hot spot in the field of smart kitchen at home and abroad.
[0003] The smart safety kitchen is based on the Internet of Things technology, with safety as the theme, and redefines the home devices in a new way, realizes the intelligentization of home gas devices, and improves the intrinsic safety of the home. It has three core competencies: intrinsic safety gas meter, high-quality alarm, and powerful IoT platform. By integrating Internet of Things technology into devices, and through the powerful devices and platform, stable and reliable linkage effect, a new type of smart safety home that is truly safe, comfortable and convenient is created.
[0004] And the kitchen is the focus of home fire safety. At present, kitchen fires account for a large proportion of home safety accidents, especially the increasing number of suffocation and explosions caused by gas and natural gas leakage, which greatly threatens the safety of residents' lives and property. SUMMARY
[0005] In view of the above-mentioned shortcomings of the prior art, the present application provides a kitchen operation safety monitoring system, which solves the technical problems raised in the background art.
[0006] To achieve the above purpose, the present application is realized by the following technical scheme:
[0007] A kitchen operation safety monitoring system, comprising:
[0008] The control terminal is the main control end of the system, used to issue execution commands; the monitoring module is used to monitor the internal environment state parameters of the kitchen; the imaging module is used to receive the internal environment state parameters of the kitchen monitored by the monitoring module in real time, and to construct a parameter reading graph based on the received internal environment state parameters of the kitchen; the analysis module is used to traverse the parameter reading graph constructed in the imaging module, and to analyze whether the internal kitchen electrical equipment is safe based on the data recorded in the parameter reading graph; the sniffing module is used to sniff whether there is a safety risk in the internal environment of the kitchen; the response module is used to obtain the analysis result in the analysis module and the sniffing result in the sniffing module, and to disconnect the internal kitchen electrical equipment connection circuit when the internal kitchen electrical equipment is unsafe or there is a safety risk in the internal environment of the kitchen, and to feedback to the system end user;
[0009] The response module is connected with the mobile device held by the system end user through a wireless network, and the content fed back by the response module to the system end user is the analysis result of the analysis module and the sniffing result of the sniffing module.
[0010] The control terminal is connected with a monitoring module through wireless network interaction, the monitoring module is connected with a receiving unit and a sensing unit through wireless network interaction, the monitoring module is connected with an imaging module through wireless network interaction, the imaging module is connected with a storage unit through medium electrical connection, the storage unit is connected with the sensing unit through wireless network, the imaging module is connected with an analysis module through wireless network interaction, the analysis module is connected with an identification unit through wireless network interaction, and the analysis module is connected with a sniffing module and a response module through wireless network interaction.
[0011] Further, the monitoring module is connected with a sub-module, including:
[0012] The receiving unit is used for receiving the running state parameters of the kitchen electrical equipment installed in the kitchen.
[0013] The sensing unit is used for sensing the internal environment parameters of the kitchen.
[0014] The receiving unit receives the running state parameters of the kitchen electrical equipment, including real-time running power, running time, and real-time running on-off state. The sensing unit senses the internal environment parameters of the kitchen, which are thermal imaging images representing the real-time temperature in the kitchen. The collection of the running state parameters of the kitchen electrical equipment received by the receiving unit and the internal environment parameters of the kitchen sensed by the sensing unit is the internal environment state parameters of the kitchen monitored by the monitoring module. The sensing unit is integrated by a thermal imaging device.
[0015] Further, the parameter reading graph constructed in the imaging module can be any one of a column chart or a line chart. The parameter reading graph is constructed with two groups. In one group of parameter reading graph, the horizontal axis represents time, and the vertical axis represents the running power of the kitchen electrical equipment. In the other group of parameter reading graph, the horizontal axis represents time, and the vertical axis represents the highest temperature area temperature in the kitchen.
[0016] The parameter reading graph constructed in the imaging module is updated in real time based on the internal environment state parameters of the kitchen monitored by the monitoring module. The imaging module is provided with a sub-module, including:
[0017] The storage unit is used for obtaining the thermal imaging images representing the real-time temperature in the kitchen from the internal environment state parameters of the kitchen received by the imaging module and storing the thermal imaging images.
[0018] Further, the analysis module is connected with a sub-module, including:
[0019] The identification unit is used to receive the parameter reading graph constructed in the imaging module and identify the corresponding time of the most recent switch from the off state to the on state of the kitchen appliance in the parameter reading graph with time on the horizontal axis and the operating power of the kitchen appliance on the vertical axis.
[0020] In the case of kitchen appliances being turned off, the operating power is a specified and fixed value. The identification unit searches for the corresponding time in the parameter reading graph based on the power value in the off state. Based on the found corresponding time, it determines the corresponding position on the horizontal axis of the two sets of parameter reading graphs. When the analysis module analyzes whether the operation of kitchen appliances inside the kitchen is safe, it uses the right area of the corresponding position on the horizontal axis of the two sets of parameter reading graphs to analyze whether the operation of kitchen appliances inside the kitchen is safe, including the operating power of all kitchen appliances and the temperature of the highest temperature area inside the kitchen.
[0021] Furthermore, the analysis logic for determining the safe operation of kitchen appliances within the analysis module is expressed as follows:
[0022]
[0023] In the formula: f is the safety judgment value for the operation of kitchen appliances; T first T represents the temperature of the highest temperature zone inside the kitchen monitored during the first set of monitoring times; n represents the set of monitoring times corresponding to the applied kitchen internal environmental state parameters; T i T represents the temperature of the highest temperature zone inside the kitchen monitored during the i-th monitoring period; i+1 P represents the temperature of the highest temperature zone inside the kitchen monitored during the (i+1)th monitoring period; i P represents the operating power of the kitchen appliances monitored during the i-th monitoring period; i+1 ti represents the operating power of the kitchen appliances monitored during the (i+1)th monitoring period; ti represents the duration of the operating power of the kitchen appliances monitored during the ith monitoring period.
[0024] Among them, the smaller the safety judgment value f of the kitchen appliance operation, the safer the kitchen appliance operation; conversely, the larger the value f, the greater the safety risk of the kitchen appliance operation. Table Find the average.
[0025] Furthermore, the analysis module is equipped with a safety threshold for determining the operating status of kitchen appliances. After obtaining the safety determination value f of the kitchen appliances based on the analysis logic, the analysis module simultaneously compares the safety determination threshold with the safety determination value f. If the safety determination value f is within the safety determination threshold, the current operating status of the kitchen appliances is determined to be safe; otherwise, the current operating status of the kitchen appliances is determined to be unsafe.
[0026] Furthermore, during the operation phase of the sniffing module, the analysis results of whether the kitchen appliances inside the kitchen are operating safely are simultaneously monitored and analyzed. The operation ends when the analysis result indicates that the current operating state of the kitchen appliances is safe, and is triggered when the analysis result indicates that the current operating state of the kitchen appliances is unsafe.
[0027] Furthermore, the sniffing logic for determining whether there are security risks in the kitchen's internal environment within the sniffing module is expressed as follows:
[0028]
[0029] In the formula: k is the judgment value for whether there is a safety risk in the internal environment of the kitchen; m is the set of thermal imaging images corresponding to each monitoring time in the set n used in the analysis logic of whether the kitchen appliances are operating safely; This provides the location information of the highest temperature regions in the thermal imaging images of group j, group j+1, and group j+2; d fac Location information for kitchen appliances; for ...the size of the area within the kitchen; S represents the size of the area within the kitchen.
[0030] in, Both represent the distance between two sets of location information. The larger the value k is for determining whether there is a safety risk in the kitchen's internal environment, the higher the probability that there is a safety risk in the kitchen's internal environment. Conversely, the smaller the value k is, the lower the probability that there is a safety risk in the kitchen's internal environment. The sniffing module has a kitchen internal environment safety judgment threshold that is manually set by the system user. Based on the comparison between the kitchen internal environment safety judgment threshold and k, it is determined whether there is a safety risk in the kitchen's internal environment.
[0031] Furthermore, When retrieving, with The location information of each group is represented in the same thermal imaging image. Based on the closed shape formed by the adjacent interconnected positions of each group of location information in the thermal imaging image, the size of the closed shape is used to represent... Size.
[0032] Compared with known public technologies, the technical solution provided by this invention has the following beneficial effects:
[0033] This invention provides a kitchen operation safety monitoring system. During operation, this system combines the analysis of operating status parameters of kitchen appliances and environmental parameters within the kitchen to provide continuous, reliable, and accurate monitoring of the operational safety of kitchen appliances. Furthermore, during the monitoring process, it simultaneously generates parameter images based on the monitored parameters, thus providing visualized data for safe operation monitoring. This allows for both monitoring of kitchen appliance operation safety and rapid parameter retrieval, thereby achieving daily safety management of kitchen appliances in a smart kitchen. Attached Figure Description
[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.
[0035] Figure 1 This is a schematic diagram of a kitchen operation safety monitoring system.
[0036] The numbers in the diagram represent: 1. Control terminal; 2. Monitoring module; 21. Receiving unit; 22. Sensing unit; 3. Imaging module; 31. Storage unit; 4. Analysis module; 41. Identification unit; 5. Sniffing module; 6. Response module. Detailed Implementation
[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0038] The present invention will be further described below with reference to embodiments.
[0039] Example 1:
[0040] This embodiment provides a kitchen operation safety monitoring system, such as... Figure 1 As shown, it includes:
[0041] Control terminal 1 is the main control terminal of the system, used to issue execution commands;
[0042] Monitoring module 2 is used to monitor the environmental parameters inside the kitchen;
[0043] The monitoring module 2 is provided with a sub-module, comprising:
[0044] The receiving unit 21 is configured to receive the operation state parameters of the kitchen electrical equipment installed inside the kitchen;
[0045] The sensing unit 22 is configured to sense the internal environment parameters of the kitchen;
[0046] The operation state parameters of the kitchen electrical equipment received by the receiving unit 21 include real-time operation power, operation duration, and real-time operation on-off state. The internal environment parameters of the kitchen sensed by the sensing unit 22 are thermal imaging images representing the real-time temperature inside the kitchen. The set of the operation state parameters of the kitchen electrical equipment received by the receiving unit 21 and the internal environment parameters of the kitchen sensed by the sensing unit 22 is the internal environment state parameters of the kitchen monitored by the monitoring module 2. The sensing unit 22 is integrated by a thermal imaging device;
[0047] The imaging module 3 is configured to receive the internal environment state parameters of the kitchen monitored by the monitoring module 2 in real time, and construct a parameter reading graph based on the received internal environment state parameters of the kitchen;
[0048] The parameter reading graph constructed in the imaging module 3 can be any one of a column chart or a line chart. The parameter reading graph is constructed with two groups. In one group of the parameter reading graph, the horizontal axis represents time, and the vertical axis represents the operation power of the kitchen electrical equipment. In the other group of the parameter reading graph, the horizontal axis represents time, and the vertical axis represents the temperature of the highest temperature area inside the kitchen;
[0049] The parameter reading graph constructed in the imaging module 3 is updated in real time based on the internal environment state parameters of the kitchen monitored by the monitoring module 2. The imaging module 3 is provided with a sub-module, comprising:
[0050] The storage unit 31 is configured to obtain the thermal imaging images representing the real-time temperature inside the kitchen from the internal environment state parameters of the kitchen received by the imaging module 3, and store the thermal imaging images;
[0051] The analysis module 4 is configured to traverse the parameter reading graph constructed in the imaging module 3, and analyze whether the operation of the kitchen electrical equipment inside the kitchen is safe based on the data recorded in the parameter reading graph;
[0052] The analysis module 4 is provided with a sub-module, comprising:
[0053] The identification unit 41 is configured to receive the parameter reading graph constructed in the imaging module 3, and identify the corresponding time when the kitchen electrical equipment is switched from the off state to the on state for the last time in the parameter reading graph in which the horizontal axis represents time and the vertical axis represents the operation power of the kitchen electrical equipment;
[0054] The kitchen electrical equipment in the off state runs at a specified and fixed power value, the identification unit 41 finds the corresponding time in the parameter reading graph based on the power value in the off state, determines the corresponding position of the corresponding time on the horizontal axis in the two sets of parameter reading graphs based on the found corresponding time, and the analysis module 4 analyzes whether the kitchen electrical equipment in the kitchen runs safely. When analyzing whether the kitchen electrical equipment in the kitchen runs safely, the corresponding position on the horizontal axis in the two sets of parameter reading graphs is applied. All the kitchen electrical equipment running power and the highest temperature area temperature in the kitchen are analyzed to determine whether the kitchen electrical equipment in the kitchen runs safely.
[0055] The sniffing module 5 is used to sniff whether there is a safety risk in the kitchen environment.
[0056] The response module 6 is used to obtain the analysis result in the analysis module 4 and the sniffing result in the sniffing module 5. When the kitchen electrical equipment is unsafe or there is a safety risk in the kitchen environment, the kitchen electrical equipment connection circuit is disconnected, and feedback is given to the system end user.
[0057] The response module 6 is connected to the mobile device held by the system end user through a wireless network. The response module 6 feeds back the content of the analysis module 4 running analysis result and the sniffing result in the sniffing module 5 to the system end user.
[0058] The control terminal 1 is connected to the monitoring module 2 through a wireless network. The monitoring module 3 is connected to the receiving unit 21 and the sensing unit 22 through a wireless network. The monitoring module 2 is connected to the imaging module 3 through a wireless network. The imaging module 3 is connected to the storage unit 31 through a medium. The storage unit 31 is connected to the sensing unit 22 through a wireless network. The imaging module 3 is connected to the analysis module 4 through a wireless network. The analysis module 4 is connected to the identification unit 41 through a wireless network. The analysis module 4 is connected to the sniffing module 5 and the response module 6 through a wireless network.
[0059] In this embodiment, the control terminal 1 controls the monitoring module 2 to monitor the internal environment state parameters of the kitchen, the receiving unit 21 synchronously receives the running state parameters of the kitchen electrical equipment installed in the kitchen, the sensing unit 22 senses the internal environment parameters of the kitchen in real time, the imaging module 3 is operated in the back and receives the internal environment state parameters of the kitchen monitored by the monitoring module 2 in real time, and the parameter reading graph is constructed based on the received internal environment state parameters of the kitchen. The storage unit 31 synchronously acquires the thermal imaging image representing the real-time temperature in the kitchen from the internal environment state parameters of the kitchen received by the imaging module 3, stores the thermal imaging image, the analysis module 4 further traverses the parameter reading graph constructed in the imaging module 3, analyzes whether the kitchen electrical equipment is safe based on the data recorded in the parameter reading graph, the recognition unit 41 receives the parameter reading graph constructed in the imaging module 3 in real time, and identifies the corresponding time when the kitchen electrical equipment is switched from the off state to the on state in the parameter reading graph representing the time on the horizontal axis and the power of the kitchen electrical equipment on the vertical axis. The sniffing module 5 sniffs whether there is a safety risk in the internal environment of the kitchen, and finally the analysis result in the analysis module 4 and the sniffing result in the sniffing module 5 are acquired through the response module 6. When the kitchen electrical equipment is unsafe or there is a safety risk in the internal environment of the kitchen, the kitchen electrical equipment connection circuit in the kitchen is disconnected, and feedback is given to the system end user.
[0060] Through the operation of the system in the above embodiment, real-time, accurate and reliable safety monitoring is brought to the operation of the kitchen electrical equipment in the smart kitchen, and the operation of the intelligent kitchen electrical equipment in the smart kitchen is ensured to be more safe and stable.
[0061] Embodiment 2:
[0062] In the specific implementation level, on the basis of embodiment 1, the embodiment refers to Figure 1 Further specific description is made to the kitchen running safety monitoring system in embodiment 1:
[0063] The analysis logic of whether the kitchen electrical equipment in the analysis module 4 is safe is represented as:
[0064]
[0065] In the formula, f is the kitchen electrical equipment running safety judgment value; T first is the highest temperature area temperature of the kitchen monitored by the first group of monitoring time; n is the set of monitoring time corresponding to the application of the internal environment state parameters of the kitchen; T i is the highest temperature area temperature of the kitchen monitored by the i-th group of monitoring time; T i+1 is the highest temperature area temperature of the kitchen monitored by the i+1-th group of monitoring time; P i is the running power of the kitchen electrical equipment monitored by the i-th group of monitoring time; P i+1The running power of the kitchen electrical equipment monitored by the i+1 group of monitoring time; ti is the running power of the kitchen electrical equipment monitored by the i group of monitoring time for the duration;
[0066] Wherein, the smaller the kitchen electrical equipment running safety judgment value f is, the safer the kitchen electrical equipment running is, and vice versa, the greater the running safety risk of the kitchen electrical equipment exists, Table pair The average of the set n is obtained;
[0067] The kitchen electrical equipment running state safety judgment threshold is set in the analysis module 4, and the analysis module 4 compares the kitchen electrical equipment running state safety judgment threshold with the safety judgment value f after obtaining the kitchen electrical equipment running safety judgment value f based on the analysis logic. When the safety judgment value f is inside the kitchen electrical equipment running state safety judgment threshold, it is determined that the current running state of the kitchen electrical equipment is safe, and vice versa, it is determined that the current running state of the kitchen electrical equipment is unsafe.
[0068] In this embodiment, by setting the analysis logic of whether the kitchen electrical equipment running inside the kitchen is safe, the analysis module 4 is provided with a specified running logic to analyze whether the kitchen electrical equipment running inside the kitchen is safe.
[0069] As shown in Figure 1 The sniffing module 5 runs in the stage, synchronously monitors the analysis result of whether the kitchen electrical equipment running inside the kitchen is safe in the analysis module 4, and ends when the analysis result is that the current running state of the kitchen electrical equipment is safe, and triggers running when the analysis result is that the current running state of the kitchen electrical equipment is unsafe.
[0070] Through the above setting, the running condition of the sniffing module 5 in the system is further limited, and necessary running logic support is provided for the linkage running of each module in the system.
[0071] Embodiment 3:
[0072] In the specific implementation level, on the basis of embodiment 1, this embodiment refers to Figure 1 Further specific description is made to the kitchen running safety monitoring system based on embodiment 1:
[0073] The sniffing logic of whether there is a safety risk in the kitchen internal environment in the sniffing module 5 is represented as:
[0074]
[0075] In the formula, k is the judgment value of whether there is a safety risk in the kitchen internal environment; m is the set n applied in the analysis logic of whether the kitchen electrical equipment running inside the kitchen is safe, and each group of monitoring time corresponds to the set of thermal imaging images; The highest temperature region position information in the jth, j+1th and j+2th groups of thermal imaging images; dfac the position information of the kitchen electrical equipment; the size of the internal area of the kitchen in which the kitchen electrical equipment is located; ... the size of the internal area of the kitchen in which the kitchen electrical equipment is located; S is the size of the internal area of the kitchen;
[0076] wherein, both represent the distance of the two sets of position information, the greater the value k of the determination of the safety risk of the internal environment of the kitchen, the higher the probability that the internal environment of the kitchen exists a safety risk, and vice versa, the lower the probability that the internal environment of the kitchen exists a safety risk, the internal environment of the kitchen safety determination threshold is manually set in the sniffing module 5 by the system end user, based on the comparison between the internal environment of the kitchen safety determination threshold and k, whether the internal environment of the kitchen exists a safety risk is determined;
[0077] In the calculation, each set of position information in is represented in the same thermal imaging image, based on the closed figure formed by the adjacent and connected peripheral position information in each set of position information in the thermal imaging image, the size of the closed figure is used to represent .
[0078] In this embodiment, the sniffing logic of the sniffing module 5 whether the internal environment of the kitchen exists a safety risk is limited, further to determine whether the internal environment of the kitchen exists a safety risk, and to provide a response module 6 operating condition.
[0079] In summary, in the above-mentioned embodiments, the system in the running process, combined with the analysis of the internal kitchen electrical equipment running state parameters and the internal kitchen environment parameters, brings continuous, reliable and accurate monitoring effect to the internal kitchen electrical operation safety, and in the process of monitoring the internal kitchen electrical operation safety, the parameter image is generated synchronously based on the monitored parameters, thereby providing visual monitoring data reading condition for the safety monitoring of the kitchen electrical operation, so that the operation safety of the kitchen electrical equipment in the kitchen is monitored at the same time, and has the function of quickly reading the monitoring parameters, thereby realizing the daily safety management of the kitchen electrical equipment in the intelligent kitchen.
[0080] The above embodiments are only used to illustrate the technical solutions of the present application, but not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.
Claims
1. A kitchen operation safety monitoring system based on, characterized by, The kitchen safety monitoring system comprises: a control terminal (1) which is a master terminal of the system and is used for issuing execution commands; a monitoring module (2) which is used for monitoring internal environment state parameters of the kitchen; an imaging module (3) which is used for receiving the internal environment state parameters of the kitchen monitored by the monitoring module (2) in real time, and constructing parameter reading graphs based on the received internal environment state parameters of the kitchen; an analysis module (4) which is used for traversing the parameter reading graphs constructed by the imaging module (3), and analyzing whether the operation of the kitchen electrical equipment in the kitchen is safe based on the data recorded in the parameter reading graphs; a sniffing module (5) which is used for sniffing whether there is a safety risk in the internal environment of the kitchen; a response module (6) which is used for obtaining the analysis result of the analysis module (4) and the sniffing result of the sniffing module (5), and disconnecting the kitchen electrical equipment connection circuit when the kitchen electrical equipment is unsafe or there is a safety risk in the internal environment of the kitchen, and feeding back to the system end user; wherein the response module (6) is connected with a mobile device held by the system end user through a wireless network, and the content fed back by the response module (6) to the system end user is the operation analysis result of the analysis module (4) and the sniffing result of the sniffing module (5).
2. The kitchen operation safety monitoring system according to claim 1, wherein The monitoring module (2) is provided with a sub-module, comprising: a receiving unit (21) which is used for receiving the operation state parameters of the kitchen electrical equipment installed in the kitchen; a sensing unit (22) which is used for sensing the internal environment parameters of the kitchen; wherein the operation state parameters of the kitchen electrical equipment received by the receiving unit (21) comprise real-time operation power, operation time length and real-time operation on-off state, the internal environment parameters of the kitchen sensed by the sensing unit (22) are thermal imaging images representing the real-time temperature in the kitchen, and the collection of the operation state parameters of the kitchen electrical equipment received by the receiving unit (21) and the internal environment parameters of the kitchen sensed by the sensing unit (22) is the internal environment state parameters of the kitchen monitored by the monitoring module (2), and the sensing unit (22) is integrated by a thermal imaging device.
3. The kitchen operation safety monitoring system according to claim 1, wherein The parameter reading graphs constructed by the imaging module (3) can be any one of a column chart or a line chart, and the parameter reading graphs are constructed with two groups, wherein the horizontal axis of one group of the parameter reading graphs represents time, and the vertical axis represents the operation power of the kitchen electrical equipment, and the horizontal axis of the other group of the parameter reading graphs represents time, and the vertical axis represents the highest temperature area temperature in the kitchen; wherein the parameter reading graphs constructed by the imaging module (3) are updated in real time based on the internal environment state parameters of the kitchen monitored by the monitoring module (2), and the imaging module (3) is internally provided with a sub-module, comprising: a storage unit (31) which is used for obtaining the thermal imaging images representing the real-time temperature in the kitchen from the internal environment state parameters of the kitchen received by the imaging module (3), and storing the thermal imaging images.
4. The kitchen operation safety monitoring system according to claim 1, wherein The analysis module (4) is provided with a sub-module, comprising: an identification unit (41) which is used for receiving the parameter reading graphs constructed by the imaging module (3), and identifying the corresponding time when the kitchen electrical equipment is switched from the closed state to the opened state in the parameter reading graphs in which the horizontal axis represents time and the vertical axis represents the operation power of the kitchen electrical equipment. The kitchen electrical equipment is in the closed state, the running power is a specified and fixed power value, the identification unit (41) finds the corresponding time in the parameter reading graph based on the power value in the closed state, determines the corresponding position of the corresponding time on the horizontal axis in the two groups of parameter reading graphs based on the found corresponding time, and the analysis module (4) analyzes whether the kitchen electrical equipment in the kitchen is safe to run. When the analysis module (4) analyzes whether the kitchen electrical equipment in the kitchen is safe to run, the corresponding position on the horizontal axis in the two groups of parameter reading graphs is applied to the right side of the region, and all the kitchen electrical equipment running power and the highest temperature region temperature in the kitchen are analyzed to determine whether the kitchen electrical equipment in the kitchen is safe to run.
5. The kitchen operation safety monitoring system according to claim 1, wherein The analysis logic of whether the kitchen electrical equipment in the kitchen is safe to run in the analysis module (4) is represented as: In the formula, f is a kitchen electrical appliance operation safety determination value; T first is the highest temperature area temperature of the kitchen interior monitored by the first group of monitoring times; n is a set of monitoring times corresponding to the application of the kitchen interior environment state parameter; T i the highest temperature zone temperature inside the kitchen monitored at the i-th group of monitoring times; T i+1 the highest temperature zone temperature inside the kitchen monitored at the i+1-th group of monitoring times; P i the operating power of the kitchen electrical appliance monitored at the i-th group of monitoring times; P i+1 the operating power of the kitchen electrical appliance monitored at the i+1-th group of monitoring times; ti the duration of the operating power of the kitchen electrical appliance monitored at the i-th group of monitoring times; Wherein, the smaller the kitchen electrical equipment operation safety judgment value f is, the safer the kitchen electrical equipment operation is, and vice versa, the greater the operation safety risk of the kitchen electrical equipment exists, Table pair of the average.
6. The kitchen operation safety monitoring system according to claim 5, wherein The analysis module (4) is provided with a kitchen electrical equipment running state safety judgment threshold value, and the analysis module (4) synchronously applies the kitchen electrical equipment running state safety judgment threshold value and the safety judgment value f to compare after obtaining the kitchen electrical equipment running safety judgment value f based on the analysis logic. When the safety judgment value f is inside the kitchen electrical equipment running state safety judgment threshold value, it is determined that the current running state of the kitchen electrical equipment is safe, otherwise, it is determined that the current running state of the kitchen electrical equipment is unsafe.
7. The kitchen operation safety monitoring system according to claim 1, wherein The sniffing module (5) runs in the stage, synchronously monitors the analysis result of whether the kitchen electrical equipment in the kitchen is safe to run in the analysis module (4), and ends when the analysis result is that the current running state of the kitchen electrical equipment is safe, and triggers running when the analysis result is that the current running state of the kitchen electrical equipment is unsafe.
8. The kitchen operation safety monitoring system according to claim 1, wherein The sniffing logic of whether there is a safety risk in the kitchen environment in the sniffing module (5) is represented as: In the formula: k is the judgment value for whether there is a safety risk in the internal environment of the kitchen; m is the set of thermal imaging images corresponding to each monitoring time in the set n used in the analysis logic of whether the kitchen appliances are operating safely; This provides the location information of the highest temperature regions in the thermal imaging images of group j, group j+1, and group j+2; d fac Location information for kitchen appliances; for ...the size of the area within the kitchen; S represents the size of the area within the kitchen. wherein, Both represent the distance of two sets of position information, the greater the determination value k of whether there is a safety risk in the internal environment of the kitchen, the higher the probability that there is a safety risk in the internal environment of the kitchen, and vice versa, the lower the probability that there is a safety risk in the internal environment of the kitchen. The kitchen, the kitchen internal environment safety determination threshold is manually set in the sniffing module (5) by the system end user. Based on the comparison between the kitchen internal environment safety determination threshold and k, it is determined whether there is a safety risk in the internal environment of the kitchen.
9. The kitchen operation safety monitoring system according to claim 8, wherein In the calculation, the size of each group of position information is determined by In the same thermographic image, the size of the closed figure formed by the most peripheral position information in each group of position information is used to represent the size of the group of position information.
10. The kitchen operation safety monitoring system according to claim 1, wherein The control terminal (1) is connected with the monitoring module (2) through wireless network interaction, the lower level of the monitoring module (3) is connected with the receiving unit (21) and the sensing unit (22) through wireless network interaction, the monitoring module (2) is connected with the imaging module (3) through wireless network interaction, the imaging module (3) is connected with the storage unit (31) through medium electric connection, the storage unit (31) is connected with the sensing unit (22) through wireless network, the imaging module (3) is connected with the analysis module (4) through wireless network interaction, the analysis module (4) is connected with the identification unit (41) through wireless network interaction, and the analysis module (4) is connected with the sniffing module (5) and the response module (6) through wireless network interaction.