A hazardous waste treatment tracing system and method based on Internet of Things technology

Abstract

The present invention belongs to the technical field of hazardous waste traceability. The present invention provides a hazardous waste treatment traceability system and method based on the Internet of Things technology, including: marking actual transportation sections, obtaining performance data of abnormal actual transportation sections in real time, and analyzing to obtain traceability demand values, judging whether it is necessary to trace the hazardous waste during transportation based on the traceability demand values, which is beneficial to improving the safety of transportation and the targeted demand for hazardous waste traceability, obtaining the transportation deviation performance value of the abnormal actual transportation section based on the traceability request signal, and determining the traceability path, obtaining the historical transportation performance value of the abnormal actual transportation section, obtaining the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, judging whether it is necessary to optimize the traceability path, and if necessary, obtaining the traceability sequence value, and optimizing the traceability path based on the traceability sequence value. The present invention is beneficial to improving the traceability efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of hazardous waste tracing, and specifically relates to a hazardous waste treatment tracing system and method based on Internet of Things technology. Background Art

[0002] With the development of industrialization and urbanization, the generation and treatment of hazardous waste has become an important issue of social concern. At present, the treatment and management of hazardous waste have problems such as low level of informatization, difficulty in supervision, and difficulty in tracing the source, which not only increases the difficulty of hazardous waste treatment, but also increases environmental risks. Therefore, how to effectively improve the level of informatization of hazardous waste treatment and realize hazardous waste treatment and traceability is an urgent problem to be solved.

[0003] In the prior art, methods for tracing hazardous waste include tracing the production, transportation, disposal and storage of hazardous waste through various barcode information such as its production date. However, in practice, due to the large amount and types of hazardous waste, the efficiency of verifying information during the traceability process is low. In the traceability process, there is a lack of targeted analysis of its traceability, that is, there is a lack of analysis on whether traceability is needed and the path, focus and direction of traceability, which makes it impossible to guarantee the treatment quality of hazardous waste.

[0004] To this end, the present invention provides a hazardous waste treatment tracing system and method based on Internet of Things technology. Summary of the invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The technical solution adopted by the present invention to solve the technical problem is: a hazardous waste treatment tracing method based on Internet of Things technology, comprising:

[0007] The planned transportation route of hazardous waste is divided according to the transportation nodes, and the planned transportation route is divided into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and its actual transportation section is compared with the target transportation section. According to the comparison result, the actual transportation section is marked as a normal actual transportation section and an abnormal actual transportation section;

[0008] Acquire the performance data of abnormal actual transportation sections in real time, obtain the traceability demand value based on the processing and analysis of the performance data, determine whether it is necessary to trace the source during the transportation of hazardous waste based on the traceability demand value, and generate a traceability signal;

[0009] Among them, the traceability signal includes the traceability request signal and the non-traceability request signal;

[0010] Based on the traceability request signal, the transport deviation performance value of the abnormal actual transport section is obtained, and the traceability path is determined based on the transport deviation performance value;

[0011] Obtain the historical transportation performance value of the abnormal actual transportation section, obtain the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determine whether the traceability path needs to be optimized, and if necessary, generate an optimization signal;

[0012] Based on the generated optimization signal, a traceability sequence value is obtained, and the traceability path is optimized based on the traceability sequence value.

[0013] As a further technical solution of the present invention, the length of the overlapping section between the actual transport section and the target transport section is obtained, and it is marked as the section overlapping length, the section overlapping length is ratio-processed with the length of the target transport section to obtain the section overlapping length ratio, and the section overlapping length ratio is compared with the section overlapping length ratio threshold;

[0014] If the road section overlap length ratio is greater than the road section overlap length ratio threshold, the actual transport section corresponding to the road section overlap length ratio is marked as a normal actual transport section;

[0015] If the section overlap length ratio is less than or equal to the section overlap length ratio threshold, the actual transport section corresponding to the section overlap length ratio is marked as an abnormal actual transport section.

[0016] As a further technical solution of the present invention, the performance data of the abnormal actual transport section includes the abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value;

[0017] The obtained abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value are summed to obtain the traceability demand value;

[0018] comparing the traceability requirement value with the traceability requirement threshold;

[0019] If the traceability requirement value is greater than the traceability requirement threshold, a traceability request signal is generated;

[0020] If the traceability requirement value is less than or equal to the traceability requirement threshold, a non-traceability request signal is generated.

[0021] As a further technical solution of the present invention, the method for obtaining the abnormal actual transport section quantity performance value is as follows:

[0022] The number of actual transport sections that hazardous waste transport vehicles have passed and the number of abnormal actual transport sections among the actual transport sections passed are obtained in real time, and the number of abnormal actual transport sections is compared with the number of actual transport sections passed to obtain the performance value of the number of abnormal actual transport sections.

[0023] As a further technical solution of the present invention, the method for obtaining the continuous performance value of the abnormal actual transportation section is:

[0024] The number of intervals between abnormal actual transport sections in the actual transport sections that the hazardous waste transport vehicles have passed through and the number of normal actual transport sections in the actual transport sections that have been passed through are obtained in real time, the number of normal actual transport sections is processed by ratio with the number of intervals between abnormal actual transport sections to obtain the mean value of the intervals of abnormal actual transport sections, and the mean value of the intervals of abnormal actual transport sections is processed by ratio with the number of actual transport sections that have been passed to obtain the interval quantity performance value;

[0025] The number of intervals between abnormal actual transport sections in the actual transport sections that have been passed is compared with the number of intervals between all transport nodes to obtain the interval number performance value;

[0026] It should be noted that the interval between every two adjacent transport nodes is considered as one interval;

[0027] The interval quantity performance value is marked as SL;

[0028] The interval number performance value is marked as CS;

[0029] By formula: The abnormal actual transport section continuous performance value CX is obtained, where s1 and s2 are both preset proportional coefficients.

[0030] As a further technical solution of the present invention, the following are provided: obtaining the abnormal actual transport section length deviation ratio and marking it as CD;

[0031] Obtain the deviation ratio of the abnormal actual transport section area and mark it as MJ;

[0032] By formula: The transport deviation performance value PL is obtained, wherein a1, a2 and a3 are preset proportional coefficients, and CH represents the overlap length ratio of the road sections;

[0033] Obtain the transport deviation performance values ​​PL of all abnormal actual transport sections, sort all abnormal actual transport sections according to the transport deviation performance values ​​PL, and obtain a first sorting table of abnormal actual transport sections. The sorting order of the first sorting table is the traceability path.

[0034] As a further technical solution of the present invention, the part of the abnormal actual transport section that does not overlap with the target transport section in the abnormal actual transport section is marked as an abnormal actual non-overlapping transport section, the length of the abnormal actual non-overlapping transport section and the length of the target transport section corresponding to the abnormal actual non-overlapping transport section are measured, and the ratios are processed to obtain the abnormal actual transport section length deviation ratio;

[0035] The abnormal actual transport section and the target transport section are marked on the map, an XY coordinate system is constructed based on the starting transport nodes of the abnormal actual transport section and the target transport section as the origin, a perpendicular line is drawn to the X-axis through the target transport section or the ending transport node of the abnormal actual transport section, the area enclosed between the target transport section and the X-axis is measured and marked as the reference area, the area enclosed between the abnormal actual transport section and the target transport section is measured and marked as the deviation area, the deviation area is ratioed to the reference area to obtain the deviation ratio of the area of ​​the abnormal actual transport section.

[0036] As a further technical solution of the present invention, the number of times the abnormal actual transport section is marked as the abnormal actual transport section in multiple historical cycles is obtained, and the number is marked as the number of times, and the number of times marked is processed by ratio processing with the number of historical cycles to obtain the ratio of the number of times marked;

[0037] Obtain the transport deviation performance value corresponding to each time the abnormal actual transport section is marked as an abnormal actual transport section, sum and average them to obtain the mean transport deviation performance value, perform ratio processing on the mean transport deviation performance value and the transport deviation performance threshold value to obtain the transport deviation average performance ratio;

[0038] The historical transport performance value is obtained by summing the ratio of the number of times marked and the ratio of the transport deviation from the average performance;

[0039] Re-ranking the abnormal actual transport sections according to the historical transport performance values ​​to obtain a second ranking table of the abnormal actual transport sections;

[0040] Compare the first sorting table with the second sorting table, and take the abnormal actual transport sections corresponding to the same sequence position in the first sorting table and the second sorting table as an abnormal actual transport section group;

[0041] If in the abnormal actual transport section group, the two abnormal actual transport sections existing therein are not the same abnormal actual transport section, then the abnormal actual transport section group is marked as an asynchronous abnormal actual transport section group;

[0042] If two abnormal actual transport sections in the abnormal actual transport section group are the same abnormal actual transport section, the abnormal actual transport section group is marked as a synchronous abnormal actual transport section group;

[0043] Count the number of asynchronous abnormal actual transport section groups and the number of abnormal actual transport section groups, and perform ratio processing on them to obtain the optimized demand value;

[0044] comparing the optimization demand value to an optimization demand threshold;

[0045] If the optimization requirement value is greater than the optimization requirement threshold, an optimization signal is generated.

[0046] As a further technical solution of the present invention, the transport deviation performance value and the historical transport performance value corresponding to the abnormal actual transport section are obtained, and the product is processed to obtain the traceability sequence value;

[0047] The abnormal actual transportation sections are reordered according to the traceability sequence value to obtain the optimized traceability path.

[0048] A hazardous waste treatment traceability system based on Internet of Things technology, including:

[0049] Marking module: divide the scheduled transportation route of hazardous waste according to the transportation nodes, and divide the scheduled transportation route into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and the actual transportation section is compared with the target transportation section. The actual transportation section is marked according to the comparison result, and it is marked as a normal actual transportation section and an abnormal actual transportation section;

[0050] Traceability assessment module: Real-time acquisition of performance data of abnormal actual transportation sections, processing and analyzing the performance data to obtain the traceability demand value, based on which it is determined whether traceability is required during hazardous waste transportation, and generating a traceability signal;

[0051] Among them, the traceability signal includes the traceability request signal and the non-traceability request signal;

[0052] The traceability path determination module: based on the traceability request signal, obtains the transport deviation performance value of the abnormal actual transport section, and determines the traceability path based on the transport deviation performance value;

[0053] Path evaluation module: obtains the historical transportation performance value of the abnormal actual transportation section, obtains the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determines whether the traceability path needs to be optimized, and generates an optimization signal if necessary;

[0054] Path optimization module: Based on the generated optimization signal, the traceability sequence value is obtained, and the traceability path is optimized based on the traceability sequence value.

[0055] The beneficial effects of the present invention are as follows:

[0056] 1. The present invention obtains the actual transport section of hazardous waste transport vehicles in real time through the Internet of Things, compares the actual transport section with the target transport section, marks the actual transport section as a normal actual transport section and an abnormal actual transport section, obtains performance data of the abnormal actual transport section in real time, obtains a traceability demand value based on processing and analyzing the performance data, determines whether it is necessary to trace the hazardous waste during transportation based on the traceability demand value, and generates a traceability signal, wherein the traceability signal includes a traceability request signal and a traceability non-request signal. The present invention analyzes whether it is necessary to trace the hazardous waste by analyzing the deviation of the vehicle transport route during the hazardous waste transportation process, which is beneficial to improving the safety of transportation and the targeted demand for hazardous waste traceability.

[0057] 2. The present invention obtains the transport deviation performance value of the abnormal actual transport section based on the tracing request signal, determines the tracing path based on the transport deviation performance value, obtains the historical transport performance value of the abnormal actual transport section, obtains the optimization demand value based on the historical transport performance value of the abnormal actual transport section, determines whether it is necessary to optimize the tracing path, generates an optimization signal if necessary, obtains the tracing sequence value based on the generated optimization signal, and optimizes the tracing path based on the tracing sequence value. The present invention is conducive to improving the tracing efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The present invention will be further described below in conjunction with the accompanying drawings.

[0059] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0060] Figure 2 is a flow chart of the method of embodiment 2 of the present invention;

[0061] Figure 3 It is a system module diagram of the present invention. DETAILED DESCRIPTION

[0062] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0063] Example 1

[0064] like Figure 1 As shown, a hazardous waste treatment tracing method based on Internet of Things technology according to an embodiment of the present invention includes:

[0065] Step 1: Divide the scheduled transportation route of hazardous waste according to the transportation nodes, and divide the scheduled transportation route into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and the actual transportation section is compared with the target transportation section. The actual transportation section is marked according to the comparison result, and it is marked as a normal actual transportation section and an abnormal actual transportation section;

[0066] It should be noted that the scheduled transportation route refers to the transportation route that is planned and designed in advance based on the location of the hazardous waste and the location of the destination to be transported. The transportation node refers to the station that needs to be stopped during transportation. It should also be noted that the real-time transportation route of the hazardous waste transportation vehicle will be uploaded to the Internet of Things in real time, and the actual transportation section of the hazardous waste transportation vehicle can be directly obtained through the Internet of Things. Among them, the actual transportation section refers to the section that the hazardous waste transportation vehicle actually travels when it arrives from a transportation node to another transportation node;

[0067] In some embodiments, the actual transport section is compared with the target transport section, the length of the overlapping section between the actual transport section and the target transport section is obtained, and it is marked as the section overlapping length, the section overlapping length is ratio-processed with the length of the target transport section to obtain the section overlapping length ratio, the section overlapping length ratio is compared with the section overlapping length ratio threshold, and the actual transport section is marked. The specific marking process is:

[0068] If the road section overlap length ratio is greater than the road section overlap length ratio threshold, it means that the actual transportation route of the hazardous waste transportation vehicle is slightly different from the planned transportation route, and the actual transportation section corresponding to the road section overlap length ratio is marked as a normal actual transportation section;

[0069] If the road section overlap length ratio is less than or equal to the road section overlap length ratio threshold, it means that the actual transportation route of the hazardous waste transportation vehicle is significantly different from the planned transportation route, and the actual transportation section corresponding to the road section overlap length ratio is marked as an abnormal actual transportation section;

[0070] It should be noted that the threshold of the road section overlap length ratio is set by those skilled in the art based on experience;

[0071] Step 2: Obtain the performance data of the abnormal actual transportation section in real time, obtain the traceability demand value based on the processing and analysis of the performance data, determine whether it is necessary to trace the source during the transportation of hazardous waste based on the traceability demand value, and generate a traceability signal;

[0072] Among them, the traceability signal includes a traceability request signal and a non-traceability request signal, and the performance data of the abnormal actual transport section includes the abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value;

[0073] The obtained abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value are summed to obtain the traceability demand value;

[0074] In some embodiments, the traceability requirement value is compared to a traceability requirement threshold;

[0075] If the traceability requirement value is greater than the traceability requirement threshold, a traceability request signal is generated;

[0076] If the traceability requirement value is less than or equal to the traceability requirement threshold, a non-traceability request signal is generated;

[0077] It should be noted that the traceability request signal indicates that in the process of hazardous waste transportation, there are more abnormal actual transportation sections and the continuity between them is strong, reflecting that the possibility of leakage and damage in the transportation of hazardous waste is high, and traceability tracking is required. On the contrary, the non-traceability request signal indicates that in the process of hazardous waste transportation, there are fewer abnormal actual transportation sections and the continuity between them is weak, reflecting that the possibility of leakage and damage in the transportation of hazardous waste is low.

[0078] Exemplarily, the method for obtaining the abnormal actual transport section quantity performance value is as follows:

[0079] The number of actual transport sections that hazardous waste transport vehicles have passed through and the number of abnormal actual transport sections among the actual transport sections passed through are obtained in real time, and the number of abnormal actual transport sections is compared with the number of actual transport sections passed through to obtain the performance value of the number of abnormal actual transport sections;

[0080] Exemplarily, the method for obtaining the abnormal actual transport section continuous performance value is as follows:

[0081] The number of intervals between abnormal actual transport sections in the actual transport sections that the hazardous waste transport vehicles have passed through and the number of normal actual transport sections in the actual transport sections that have been passed through are obtained in real time, the number of normal actual transport sections is processed by ratio with the number of intervals between abnormal actual transport sections to obtain the mean value of the intervals of abnormal actual transport sections, and the mean value of the intervals of abnormal actual transport sections is processed by ratio with the number of actual transport sections that have been passed to obtain the interval quantity performance value;

[0082] The number of intervals between abnormal actual transport sections in the actual transport sections that have been passed is compared with the number of intervals between all transport nodes to obtain the interval number performance value;

[0083] It should be noted that the interval between every two adjacent transport nodes is considered as one interval;

[0084] The interval quantity performance value is marked as SL;

[0085] The interval number performance value is marked as CS;

[0086] By formula: The abnormal actual transport section continuous performance value CX is obtained, where s1 and s2 are both preset proportional coefficients;

[0087] The technical solution of an embodiment of the present invention is as follows: the present invention obtains the actual transport section of hazardous waste transport vehicles in real time through the Internet of Things, and compares the actual transport section with the target transport section, marks the actual transport section, marks it as a normal actual transport section and an abnormal actual transport section, obtains performance data of the abnormal actual transport section in real time, obtains a traceability demand value based on processing and analyzing the performance data, determines whether it is necessary to trace the hazardous waste during transportation based on the traceability demand value, and generates a traceability signal, wherein the traceability signal includes a traceability request signal and a traceability non-request signal. The present invention analyzes whether it is necessary to trace the hazardous waste transportation by analyzing the deviation of the vehicle transportation route during the hazardous waste transportation process, which is beneficial to improving the safety of transportation and the targeted demand for hazardous waste traceability.

[0088] Example 2

[0089] like Figure 2 As shown, based on Example 1, a hazardous waste treatment tracing method based on Internet of Things technology according to an embodiment of the present invention includes:

[0090] Step 3: Based on the traceability request signal, the transport deviation performance value of the abnormal actual transport section is obtained, and the traceability path is determined based on the transport deviation performance value;

[0091] In some embodiments, a portion of the abnormal actual transport section that does not overlap with the target transport section in the abnormal actual transport section is marked as an abnormal actual non-overlapping transport section, the length of the abnormal actual non-overlapping transport section and the length of the target transport section corresponding to the abnormal actual non-overlapping transport section are measured, and a ratio processing is performed to obtain the abnormal actual transport section length deviation ratio;

[0092] Mark the abnormal actual transport section and the target transport section on the map, construct an XY coordinate system based on the start transport nodes of the abnormal actual transport section and the target transport section as the origin, draw a perpendicular line to the X-axis through the target transport section or the end transport node of the abnormal actual transport section, measure the area enclosed by the target transport section and the X-axis, and mark it as the reference area, measure the area enclosed by the abnormal actual transport section and the target transport section, and mark it as the deviation area, perform ratio processing on the deviation area and the reference area, and obtain the deviation ratio of the abnormal actual transport section area;

[0093] The obtained abnormal actual transport section length deviation ratio is marked as CD;

[0094] The obtained abnormal actual transport section area deviation ratio is marked as MJ;

[0095] By formula: The transport deviation performance value PL is obtained, wherein a1, a2 and a3 are preset proportional coefficients, and CH represents the overlap length ratio of the road sections;

[0096] Obtaining the transport deviation performance values ​​PL of all abnormal actual transport sections, sorting all abnormal actual transport sections according to the transport deviation performance values ​​PL, and obtaining a first sorting table of abnormal actual transport sections, wherein the sorting order of the first sorting table is the traceability path;

[0097] It should be noted that the traceability path represents the traceability of abnormal actual transportation sections in a certain sorting order;

[0098] Step 4: Obtain the historical transportation performance value of the abnormal actual transportation section, obtain the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determine whether the traceability path needs to be optimized, and if necessary, generate an optimization signal;

[0099] Specifically, the number of times the abnormal actual transport section is marked as the abnormal actual transport section in multiple historical cycles is obtained, and the number is marked as the number of times, and the number of times marked is processed by ratio processing with the number of historical cycles to obtain the ratio of the number of times marked;

[0100] It should be noted that the historical period represents the time it takes for hazardous waste to be transported from its location to its destination.

[0101] Obtain the transport deviation performance value corresponding to each time the abnormal actual transport section is marked as an abnormal actual transport section, sum and average them to obtain the mean transport deviation performance value, perform ratio processing on the mean transport deviation performance value and the transport deviation performance threshold value to obtain the transport deviation average performance ratio;

[0102] It should be noted that the transport deviation performance threshold is obtained by summing up the mean values ​​of transport deviation performance corresponding to all abnormal actual transport sections;

[0103] The historical transport performance value is obtained by summing the ratio of the number of times marked and the ratio of the transport deviation from the average performance;

[0104] Re-ranking the abnormal actual transport sections according to the historical transport performance values ​​to obtain a second ranking table of the abnormal actual transport sections;

[0105] Compare the first sorting table with the second sorting table, and take the abnormal actual transport sections corresponding to the same sequence position in the first sorting table and the second sorting table as an abnormal actual transport section group;

[0106] If in the abnormal actual transport section group, the two abnormal actual transport sections existing therein are not the same abnormal actual transport section, then the abnormal actual transport section group is marked as an asynchronous abnormal actual transport section group;

[0107] If two abnormal actual transport sections in the abnormal actual transport section group are the same abnormal actual transport section, the abnormal actual transport section group is marked as a synchronous abnormal actual transport section group;

[0108] Count the number of asynchronous abnormal actual transport section groups and the number of abnormal actual transport section groups, and perform ratio processing on them to obtain the optimized demand value;

[0109] In some embodiments, the optimization requirement value is compared to an optimization requirement threshold;

[0110] If the optimization demand value is greater than the optimization demand threshold, an optimization signal is generated;

[0111] If the optimization requirement value is less than or equal to the optimization requirement threshold, no operation is performed;

[0112] It should be noted that the optimization signal indicates that the current traceability path is significantly different from the previous one, and comprehensive optimization is required;

[0113] Step 5: Based on the generated optimization signal, obtain the traceability sequence value, and optimize the traceability path based on the traceability sequence value;

[0114] Specifically, the transport deviation performance value and the historical transport performance value corresponding to the abnormal actual transport section are obtained, and the product is processed to obtain the traceability sequence value;

[0115] Reorder the abnormal actual transportation sections according to the traceability sequence value to obtain the optimized traceability path;

[0116] The technical solution of the embodiment of the present invention is: based on the tracing request signal, the transport deviation performance value of the abnormal actual transport section is obtained, the tracing path is determined based on the transport deviation performance value, the historical transport performance value of the abnormal actual transport section is obtained, and the optimization demand value is obtained based on the historical transport performance value of the abnormal actual transport section. It is judged whether the tracing path needs to be optimized. If necessary, an optimization signal is generated, and the tracing sequence value is obtained based on the generated optimization signal. The tracing path is optimized based on the tracing sequence value. The present invention is conducive to improving the traceability efficiency.

[0117] Example 3

[0118] like Figure 3 As shown, a hazardous waste treatment tracing system based on Internet of Things technology according to an embodiment of the present invention includes:

[0119] Marking module: divide the scheduled transportation route of hazardous waste according to the transportation nodes, and divide the scheduled transportation route into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and the actual transportation section is compared with the target transportation section. The actual transportation section is marked according to the comparison result, and it is marked as a normal actual transportation section and an abnormal actual transportation section;

[0120] Traceability assessment module: Real-time acquisition of performance data of abnormal actual transportation sections, processing and analyzing the performance data to obtain traceability demand values, based on which it is determined whether traceability is required during hazardous waste transportation, and generating traceability signals;

[0121] The traceability path determination module: based on the traceability request signal, obtains the transport deviation performance value of the abnormal actual transport section, and determines the traceability path based on the transport deviation performance value;

[0122] Path evaluation module: obtains the historical transportation performance value of the abnormal actual transportation section, obtains the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determines whether the traceability path needs to be optimized, and generates an optimization signal if necessary;

[0123] Path optimization module: Based on the generated optimization signal, the traceability sequence value is obtained, and the traceability path is optimized based on the traceability sequence value.

[0124] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0125] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A hazardous waste treatment tracing method based on Internet of Things technology, characterized by: include: The planned transportation route of hazardous waste is divided according to the transportation nodes, and the planned transportation route is divided into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and its actual transportation section is compared with the target transportation section. According to the comparison result, the actual transportation section is marked as a normal actual transportation section and an abnormal actual transportation section; Acquire the performance data of abnormal actual transportation sections in real time, obtain the traceability demand value based on the processing and analysis of the performance data, determine whether it is necessary to trace the source during the transportation of hazardous waste based on the traceability demand value, and generate a traceability signal; Among them, the traceability signal includes the traceability request signal and the non-traceability request signal; Based on the traceability request signal, the transport deviation performance value of the abnormal actual transport section is obtained, and the traceability path is determined based on the transport deviation performance value; Obtain the historical transportation performance value of the abnormal actual transportation section, obtain the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determine whether the traceability path needs to be optimized, and if necessary, generate an optimization signal; Based on the generated optimization signal, a traceability sequence value is obtained, and the traceability path is optimized based on the traceability sequence value; Obtain the deviation ratio of the abnormal actual transport section length and mark it as CD; Obtain the deviation ratio of the abnormal actual transport section area and mark it as MJ; By formula: The transport deviation performance value PL is obtained, wherein a1, a2 and a3 are preset proportional coefficients, and CH represents the overlap length ratio of the road sections; Obtaining the transport deviation performance values ​​PL of all abnormal actual transport sections, sorting all abnormal actual transport sections according to the transport deviation performance values ​​PL, and obtaining a first sorting table of abnormal actual transport sections, wherein the sorting order of the first sorting table is the traceability path; Marking the part of the abnormal actual transport section that does not overlap with the target transport section as the abnormal actual non-overlapping transport section, measuring the length of the abnormal actual non-overlapping transport section and the length of the target transport section corresponding to the abnormal actual non-overlapping transport section, and performing ratio processing to obtain the abnormal actual transport section length deviation ratio; Mark the abnormal actual transport section and the target transport section on the map, construct an XY coordinate system based on the start transport nodes of the abnormal actual transport section and the target transport section as the origin, draw a perpendicular line to the X-axis through the target transport section or the end transport node of the abnormal actual transport section, measure the area enclosed by the target transport section and the X-axis, and mark it as the reference area, measure the area enclosed by the abnormal actual transport section and the target transport section, and mark it as the deviation area, perform ratio processing on the deviation area and the reference area, and obtain the deviation ratio of the abnormal actual transport section area; Obtain the number of times the abnormal actual transport section is marked as the abnormal actual transport section in multiple historical cycles, and mark it as the number of times marked, and perform ratio processing on the number of times marked and the number of historical cycles to obtain the ratio of times marked; Obtain the transport deviation performance value corresponding to each time the abnormal actual transport section is marked as an abnormal actual transport section, sum and average them to obtain the mean transport deviation performance value, perform ratio processing on the mean transport deviation performance value and the transport deviation performance threshold value to obtain the transport deviation average performance ratio; The historical transport performance value is obtained by summing the ratio of the number of times marked and the ratio of the transport deviation from the average performance; Re-ranking the abnormal actual transport sections according to the historical transport performance values ​​to obtain a second ranking table of the abnormal actual transport sections; Compare the first sorting table with the second sorting table, and take the abnormal actual transport sections corresponding to the same sequence position in the first sorting table and the second sorting table as an abnormal actual transport section group; If in the abnormal actual transport section group, the two abnormal actual transport sections existing therein are not the same abnormal actual transport section, then the abnormal actual transport section group is marked as an asynchronous abnormal actual transport section group; If two abnormal actual transport sections in the abnormal actual transport section group are the same abnormal actual transport section, the abnormal actual transport section group is marked as a synchronous abnormal actual transport section group; Count the number of asynchronous abnormal actual transport section groups and the number of abnormal actual transport section groups, and perform ratio processing on them to obtain the optimized demand value; comparing the optimization demand value to an optimization demand threshold; If the optimization demand value is greater than the optimization demand threshold, an optimization signal is generated; Obtain the transport deviation performance value and historical transport performance value corresponding to the abnormal actual transport section, and multiply them to obtain the traceability sequence value; The abnormal actual transportation sections are reordered according to the traceability sequence value to obtain the optimized traceability path.

2. According to claim 1, a hazardous waste treatment tracing method based on Internet of Things technology is characterized by: The length of the overlapping section between the actual transport section and the target transport section is obtained, and it is marked as the section overlapping length, and the section overlapping length is ratio-processed with the length of the target transport section to obtain the section overlapping length ratio, and the section overlapping length ratio is compared with the section overlapping length ratio threshold; If the road section overlap length ratio is greater than the road section overlap length ratio threshold, the actual transport section corresponding to the road section overlap length ratio is marked as a normal actual transport section; If the section overlap length ratio is less than or equal to the section overlap length ratio threshold, the actual transport section corresponding to the section overlap length ratio is marked as an abnormal actual transport section.

3. According to claim 2, a hazardous waste treatment tracing method based on Internet of Things technology is characterized by: The performance data of the abnormal actual transport section includes the abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value; The obtained abnormal actual transport section quantity performance value and the abnormal actual transport section continuous performance value are summed to obtain the traceability demand value; comparing the traceability requirement value with the traceability requirement threshold; If the traceability requirement value is greater than the traceability requirement threshold, a traceability request signal is generated; If the traceability requirement value is less than or equal to the traceability requirement threshold, a non-traceability request signal is generated.

4. According to claim 3, a hazardous waste treatment tracing method based on Internet of Things technology is characterized by: The method for obtaining the abnormal actual transport section quantity performance value is as follows: The number of actual transport sections that hazardous waste transport vehicles have passed and the number of abnormal actual transport sections among the actual transport sections passed are obtained in real time, and the number of abnormal actual transport sections is compared with the number of actual transport sections passed to obtain the performance value of the number of abnormal actual transport sections.

5. According to claim 4, a hazardous waste treatment tracing method based on Internet of Things technology is characterized by: The method for obtaining the continuous performance value of the abnormal actual transport section is as follows: The number of intervals between abnormal actual transport sections in the actual transport sections that the hazardous waste transport vehicles have passed through and the number of normal actual transport sections in the actual transport sections that have been passed through are obtained in real time, the number of normal actual transport sections is processed by ratio with the number of intervals between abnormal actual transport sections to obtain the mean value of the intervals of abnormal actual transport sections, and the mean value of the intervals of abnormal actual transport sections is processed by ratio with the number of actual transport sections that have been passed to obtain the interval quantity performance value; The number of intervals between abnormal actual transport sections in the actual transport sections that have been passed is compared with the number of intervals between all transport nodes to obtain the interval number performance value; It should be noted that the interval between every two adjacent transport nodes is considered as one interval; The interval quantity performance value is marked as SL; The interval number performance value is marked as CS; By formula: The abnormal actual transport section continuous performance value CX is obtained, where s1 and s2 are both preset proportional coefficients.

6. A hazardous waste treatment traceability system based on Internet of Things technology, characterized by: The system is used to implement the method as described in any one of claims 1 to 5 above, comprising: Marking module: divide the scheduled transportation route of hazardous waste according to the transportation nodes, and divide the scheduled transportation route into several target transportation sections. When the hazardous waste transportation vehicle arrives at each transportation node, the actual transportation section of the hazardous waste transportation vehicle is obtained in real time through the Internet of Things, and the actual transportation section is compared with the target transportation section. The actual transportation section is marked according to the comparison result, and it is marked as a normal actual transportation section and an abnormal actual transportation section; Traceability assessment module: Real-time acquisition of performance data of abnormal actual transportation sections, processing and analyzing the performance data to obtain the traceability demand value, based on which it is determined whether traceability is required during hazardous waste transportation, and generating a traceability signal; Among them, the traceability signal includes the traceability request signal and the non-traceability request signal; The traceability path determination module: based on the traceability request signal, obtains the transport deviation performance value of the abnormal actual transport section, and determines the traceability path based on the transport deviation performance value; Path evaluation module: obtains the historical transportation performance value of the abnormal actual transportation section, obtains the optimization demand value based on the historical transportation performance value of the abnormal actual transportation section, determines whether the traceability path needs to be optimized, and generates an optimization signal if necessary; Path optimization module: Based on the generated optimization signal, the traceability sequence value is obtained, and the traceability path is optimized based on the traceability sequence value; Obtain the deviation ratio of the abnormal actual transport section length and mark it as CD; Obtain the deviation ratio of the abnormal actual transport section area and mark it as MJ; By formula: The transport deviation performance value PL is obtained, wherein a1, a2 and a3 are preset proportional coefficients, and CH represents the overlap length ratio of the road sections; Obtaining the transport deviation performance values ​​PL of all abnormal actual transport sections, sorting all abnormal actual transport sections according to the transport deviation performance values ​​PL, and obtaining a first sorting table of abnormal actual transport sections, wherein the sorting order of the first sorting table is the traceability path; Marking the part of the abnormal actual transport section that does not overlap with the target transport section as the abnormal actual non-overlapping transport section, measuring the length of the abnormal actual non-overlapping transport section and the length of the target transport section corresponding to the abnormal actual non-overlapping transport section, and performing ratio processing to obtain the abnormal actual transport section length deviation ratio; Mark the abnormal actual transport section and the target transport section on the map, construct an XY coordinate system based on the start transport nodes of the abnormal actual transport section and the target transport section as the origin, draw a perpendicular line to the X-axis through the target transport section or the end transport node of the abnormal actual transport section, measure the area enclosed by the target transport section and the X-axis, and mark it as the reference area, measure the area enclosed by the abnormal actual transport section and the target transport section, and mark it as the deviation area, perform ratio processing on the deviation area and the reference area, and obtain the deviation ratio of the abnormal actual transport section area; Obtain the number of times the abnormal actual transport section is marked as the abnormal actual transport section in multiple historical cycles, and mark it as the number of times marked, and perform ratio processing on the number of times marked and the number of historical cycles to obtain the ratio of times marked; Obtain the transport deviation performance value corresponding to each time the abnormal actual transport section is marked as an abnormal actual transport section, sum and average them to obtain the mean transport deviation performance value, perform ratio processing on the mean transport deviation performance value and the transport deviation performance threshold value to obtain the transport deviation average performance ratio; The historical transport performance value is obtained by summing the ratio of the number of times marked and the ratio of the transport deviation from the average performance; Re-ranking the abnormal actual transport sections according to the historical transport performance values ​​to obtain a second ranking table of the abnormal actual transport sections; Compare the first sorting table with the second sorting table, and take the abnormal actual transport sections corresponding to the same sequence position in the first sorting table and the second sorting table as an abnormal actual transport section group; If in the abnormal actual transport section group, the two abnormal actual transport sections existing therein are not the same abnormal actual transport section, then the abnormal actual transport section group is marked as an asynchronous abnormal actual transport section group; If two abnormal actual transport sections in the abnormal actual transport section group are the same abnormal actual transport section, the abnormal actual transport section group is marked as a synchronous abnormal actual transport section group; Count the number of asynchronous abnormal actual transport section groups and the number of abnormal actual transport section groups, and perform ratio processing on them to obtain the optimized demand value; comparing the optimization demand value to an optimization demand threshold; If the optimization demand value is greater than the optimization demand threshold, an optimization signal is generated; Obtain the transport deviation performance value and historical transport performance value corresponding to the abnormal actual transport section, and multiply them to obtain the traceability sequence value; The abnormal actual transportation sections are reordered according to the traceability sequence value to obtain the optimized traceability path.

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